This page was generated from unit-3.1-parabolic/parabolic.ipynb.
3.1 Parabolic model problem¶
We are solving the unsteady heat equation
\[\text{find } u:[0,T] \to H_{0,D}^1 \quad \int_{\Omega} \partial_t u v + \int_{\Omega} \nabla u \nabla v + b \cdot \nabla u v = \int f v \quad \forall v \in H_{0,D}^1, \quad u(t=0) = u_0\]
with a suitable advective field \(b\) (the wind).
[1]:
from ngsolve import *
import netgen.gui
from math import pi
from netgen.geom2d import SplineGeometry
Geometry: \((-1,1)^2\)
Dirichlet boundaries everywhere
Mesh
[2]:
geo = SplineGeometry()
geo.AddRectangle( (-1, -1), (1, 1),
bcs = ("bottom", "right", "top", "left"))
mesh = Mesh( geo.GenerateMesh(maxh=0.25))
Draw(mesh)
fes = H1(mesh, order=3, dirichlet="bottom|right|left|top")
u,v = fes.TnT()
time = 0.0
dt = 0.001
Generate Mesh from spline geometry
Boundary mesh done, np = 32
CalcLocalH: 32 Points 0 Elements 0 Surface Elements
Meshing domain 1 / 1
load internal triangle rules
Surface meshing done
Edgeswapping, topological
Smoothing
Split improve
Combine improve
Smoothing
Edgeswapping, metric
Smoothing
Split improve
Combine improve
Smoothing
Edgeswapping, metric
Smoothing
Split improve
Combine improve
Smoothing
Update mesh topology
Update clusters
We define the field \(b\) (the wind) as
\[b(x,y) := (2y(1-x^2),-2x(1-y^2)).\]
[3]:
b = CoefficientFunction((2*y*(1-x*x),-2*x*(1-y*y)))
Draw(b,mesh,"wind")
from ngsolve.internal import visoptions
visoptions.scalfunction = "wind:0"
bilinear forms for
convection-diffusion stiffness and
mass matrix seperately.
non-symmetric memory layout for the mass matrix so that a and m have the same sparsity pattern.
[4]:
a = BilinearForm(fes, symmetric=False)
a += 0.01*grad(u)*grad(v)*dx + b*grad(u)*v*dx
a.Assemble()
m = BilinearForm(fes, symmetric=False)
m += u*v*dx
m.Assemble()
assemble VOL element 144/144
assemble VOL element 144/144
[4]:
<ngsolve.comp.BilinearForm at 0x7f9a04462270>
Implicit Euler method¶
\[\underbrace{(M + \Delta t A)}_{M^\ast} u^{n+1} = M u^n + \Delta tf^{n+1}\]
or in an incremental form:
\[M^\ast (u^{n+1} - u^n) = - \Delta t A u^n + \Delta tf^{n+1}.\]
Incremental form: \(u^{n+1} - u^n\) has homogeneous boundary conditions (unless boundary conditions are time-dependent).
For the time stepping method: set up linear combinations of matrices.
(Only) if the sparsity pattern of the matrices agree we can copy the pattern and sum up the entries.
First, we create a matrix of the same size and sparsity pattern as m.mat:
[5]:
mstar = m.mat.CreateMatrix()
print(m.mat.nze, a.mat.nze, mstar.nze)
print(mstar)
11257 11257 11257
Row 0: 0: 0.00520833 4: 0.00260417 31: 0.00260417 89: -0.000520833 90: 8.68056e-05 91: -0.000520833 92: 8.68056e-05 111: -0.000260417 112: -1.32137e-19 553: 0.000173611
Row 1: 1: 0.00864932 10: 0.0021968 11: 0.00212786 38: 0.00432466 93: -0.000439361 94: 7.32268e-05 95: -0.000425571 96: 7.09286e-05 97: -0.000864932 98: 0.000144155 147: -0.00021968 148: 1.11808e-19 151: -0.000212786 152: -1.0842e-19 565: 0.000146454 567: 0.000141857
Row 2: 2: 0.00520833 17: 0.00260417 18: 0.00260417 99: -0.000520833 100: 8.68056e-05 101: -0.000520833 102: 8.68056e-05 185: -0.000260417 186: 1.32137e-19 580: 0.000173611
Row 3: 3: 0.00838017 24: 0.0021202 25: 0.00206988 51: 0.00419009 103: -0.000424041 104: 7.06735e-05 105: -0.000413976 106: 6.89961e-05 107: -0.000838017 108: 0.00013967 227: -0.00021202 228: 1.06726e-19 231: -0.000206988 232: -1.05879e-19 592: 0.000141347 594: 0.000137992
Row 4: 0: 0.00260417 4: 0.0178479 5: 0.00266198 31: 0.00626195 32: 0.00631976 89: -0.000520833 90: -8.68056e-05 91: -0.000260417 92: -1.40607e-19 109: -0.000532397 110: 8.87328e-05 111: -0.00125239 112: 0.000208732 113: -0.00126395 114: 0.000210659 117: -0.000266198 118: -1.33831e-19 263: -0.000365778 264: 1.89735e-19 553: 0.000173611 554: 0.000177466 606: 0.000243852
Row 5: 4: 0.00266198 5: 0.0162432 6: 0.00257966 32: 0.00554195 33: 0.00545963 109: -0.000532397 110: -8.87328e-05 113: -0.000266198 114: -1.4569e-19 115: -0.000515932 116: 8.59887e-05 117: -0.00110839 118: 0.000184732 119: -0.00109193 120: 0.000181988 123: -0.000257966 124: -1.28749e-19 267: -0.000287997 268: 1.49078e-19 554: 0.000177466 555: 0.000171977 556: 0.000191998
Row 6: 5: 0.00257966 6: 0.0153371 7: 0.00250481 33: 0.00516376 34: 0.0050889 115: -0.000515932 116: -8.59887e-05 119: -0.000257966 120: -1.38913e-19 121: -0.000500961 122: 8.34936e-05 123: -0.00103275 124: 0.000172125 125: -0.00101778 126: 0.00016963 129: -0.000250481 130: -1.28749e-19 273: -0.00025841 274: 1.33831e-19 555: 0.000171977 557: 0.000166987 558: 0.000172273
Row 7: 6: 0.00250481 7: 0.0143369 8: 0.00231617 34: 0.00485228 35: 0.00466364 121: -0.000500961 122: -8.34936e-05 125: -0.000250481 126: -1.33831e-19 127: -0.000463234 128: 7.72056e-05 129: -0.000970455 130: 0.000161743 131: -0.000932728 132: 0.000155455 135: -0.000231617 136: -1.18585e-19 279: -0.000234747 280: 1.20279e-19 557: 0.000166987 559: 0.000154411 560: 0.000156498
Row 8: 7: 0.00231617 8: 0.0126535 9: 0.00202786 35: 0.00429888 36: 0.00401057 127: -0.000463234 128: -7.72056e-05 131: -0.000231617 132: -1.27055e-19 133: -0.000405571 134: 6.75952e-05 135: -0.000859776 136: 0.000143296 137: -0.000802113 138: 0.000133686 141: -0.000202786 142: -1.03338e-19 285: -0.000198271 286: 1.01644e-19 559: 0.000154411 561: 0.00013519 562: 0.000132181
Row 9: 8: 0.00202786 9: 0.0117007 10: 0.00198252 36: 0.00386781 37: 0.00382247 133: -0.000405571 134: -6.75952e-05 137: -0.000202786 138: -1.10114e-19 139: -0.000396504 140: 6.6084e-05 141: -0.000773562 142: 0.000128927 143: -0.000764495 144: 0.000127416 145: -0.000198252 146: -1.01644e-19 291: -0.000183995 292: 9.40207e-20 561: 0.00013519 563: 0.000132168 564: 0.000122664
Row 10: 1: 0.0021968 9: 0.00198252 10: 0.0120841 37: 0.00384522 38: 0.00405951 93: -0.000439361 94: -7.32268e-05 97: -0.00021968 98: -3.38813e-21 139: -0.000396504 140: -6.6084e-05 143: -0.000198252 144: -1.10114e-19 145: -0.000769044 146: 0.000128174 147: -0.000811901 148: 0.000135317 297: -0.00018627 298: 9.65618e-20 563: 0.000132168 565: 0.000146454 566: 0.00012418
Row 11: 1: 0.00212786 11: 0.0116925 12: 0.00185482 38: 0.00399143 39: 0.0037184 95: -0.000425571 96: -7.09286e-05 97: -0.000212786 98: -1.16891e-19 149: -0.000370965 150: 6.18274e-05 151: -0.000798287 152: 0.000133048 153: -0.00074368 154: 0.000123947 157: -0.000185482 158: -9.48677e-20 303: -0.000186358 304: 9.57147e-20 567: 0.000141857 568: 0.000123655 569: 0.000124239
Row 12: 11: 0.00185482 12: 0.0108975 13: 0.00186098 39: 0.00358779 40: 0.00359395 149: -0.000370965 150: -6.18274e-05 153: -0.000185482 154: -9.99499e-20 155: -0.000372196 156: 6.20327e-05 157: -0.000717558 158: 0.000119593 159: -0.00071879 160: 0.000119798 163: -0.000186098 164: -9.31736e-20 307: -0.000173297 308: 8.80914e-20 568: 0.000123655 570: 0.000124065 571: 0.000115531
Row 13: 12: 0.00186098 13: 0.0116233 14: 0.0021075 40: 0.00370416 41: 0.00395068 155: -0.000372196 156: -6.20327e-05 159: -0.000186098 160: -9.99499e-20 161: -0.000421501 162: 7.02501e-05 163: -0.000740831 164: 0.000123472 165: -0.000790135 166: 0.000131689 169: -0.00021075 170: -1.06726e-19 313: -0.000184317 314: 9.57147e-20 570: 0.000124065 572: 0.0001405 573: 0.000122878
Row 14: 13: 0.0021075 14: 0.0130311 15: 0.002269 41: 0.00424654 42: 0.00440804 161: -0.000421501 162: -7.02501e-05 165: -0.00021075 166: -1.16891e-19 167: -0.0004538 168: 7.56334e-05 169: -0.000849308 170: 0.000141551 171: -0.000881608 172: 0.000146935 175: -0.0002269 176: -1.15196e-19 319: -0.000213904 320: 1.06726e-19 572: 0.0001405 574: 0.000151267 575: 0.000142603
Row 15: 14: 0.002269 15: 0.0137996 16: 0.00230137 42: 0.00459841 43: 0.00463078 167: -0.0004538 168: -7.56334e-05 171: -0.0002269 172: -1.25361e-19 173: -0.000460274 174: 7.67123e-05 175: -0.000919682 176: 0.00015328 177: -0.000926155 178: 0.000154359 181: -0.000230137 182: -1.20279e-19 325: -0.000232941 326: 1.18585e-19 574: 0.000151267 576: 0.000153425 577: 0.000155294
Row 16: 15: 0.00230137 16: 0.0136559 17: 0.00218711 43: 0.00464083 44: 0.00452657 173: -0.000460274 174: -7.67123e-05 177: -0.000230137 178: -1.27055e-19 179: -0.000437421 180: 7.29035e-05 181: -0.000928166 182: 0.000154694 183: -0.000905313 184: 0.000150886 187: -0.000218711 188: -1.13502e-19 331: -0.000233946 332: 1.16891e-19 576: 0.000153425 578: 0.000145807 579: 0.000155964
Row 17: 2: 0.00260417 16: 0.00218711 17: 0.0157177 18: 0.00567173 44: 0.00525467 99: -0.000520833 100: -8.68056e-05 101: -0.000260417 102: -8.47033e-21 179: -0.000437421 180: -7.29035e-05 183: -0.000218711 184: -1.18585e-19 185: -0.00113435 186: 0.000189058 187: -0.00105093 188: 0.000175156 191: -0.000306756 192: -1.55854e-19 578: 0.000145807 580: 0.000173611 607: 0.000204504
Row 18: 2: 0.00260417 17: 0.00567173 18: 0.0203578 19: 0.00209386 44: 0.0054809 45: 0.0045072 99: -0.000260417 100: -1.40607e-19 101: -0.000520833 102: -8.68056e-05 185: -0.00113435 186: -0.000189058 187: -0.000306756 188: -1.64324e-19 189: -0.000418771 190: 6.97952e-05 191: -0.00109618 192: 0.000182697 193: -0.000901439 194: 0.00015024 197: -0.000209386 198: -1.07573e-19 337: -0.000241334 338: 1.23667e-19 580: 0.000173611 581: 0.00013959 607: 0.000204504 608: 0.000160889
Row 19: 18: 0.00209386 19: 0.0130814 20: 0.00246751 45: 0.00407319 46: 0.00444684 189: -0.000418771 190: -6.97952e-05 193: -0.000209386 194: -1.13502e-19 195: -0.000493503 196: 8.22504e-05 197: -0.000814637 198: 0.000135773 199: -0.000889369 200: 0.000148228 203: -0.000246751 204: -1.27055e-19 341: -0.000197933 342: 1.01644e-19 581: 0.00013959 582: 0.000164501 583: 0.000131955
Row 20: 19: 0.00246751 20: 0.0148668 21: 0.00253933 46: 0.00489406 47: 0.00496588 195: -0.000493503 196: -8.22504e-05 199: -0.000246751 200: -1.33831e-19 201: -0.000507866 202: 8.46444e-05 203: -0.000978813 204: 0.000163135 205: -0.000993176 206: 0.000165529 209: -0.000253933 210: -1.30443e-19 345: -0.000242655 346: 1.23667e-19 582: 0.000164501 584: 0.000169289 585: 0.00016177
Row 21: 20: 0.00253933 21: 0.0147047 22: 0.00237875 47: 0.00497358 48: 0.004813 201: -0.000507866 202: -8.46444e-05 205: -0.000253933 206: -1.35525e-19 207: -0.00047575 208: 7.92917e-05 209: -0.000994716 210: 0.000165786 211: -0.0009626 212: 0.000160433 215: -0.000237875 216: -1.21973e-19 351: -0.000243425 352: 1.27055e-19 584: 0.000169289 586: 0.000158583 587: 0.000162283
Row 22: 21: 0.00237875 22: 0.0135233 23: 0.00220132 48: 0.00456035 49: 0.00438292 207: -0.00047575 208: -7.92917e-05 211: -0.000237875 212: -1.30443e-19 213: -0.000440264 214: 7.33774e-05 215: -0.00091207 216: 0.000152012 217: -0.000876585 218: 0.000146097 221: -0.000220132 222: -1.13502e-19 357: -0.00021816 358: 1.10114e-19 586: 0.000158583 588: 0.000146755 589: 0.00014544
Row 23: 22: 0.00220132 23: 0.0121689 24: 0.00199356 49: 0.0040909 50: 0.00388313 213: -0.000440264 214: -7.33774e-05 217: -0.000220132 218: -1.18585e-19 219: -0.000398711 220: 6.64519e-05 221: -0.000818179 222: 0.000136363 223: -0.000776626 224: 0.000129438 225: -0.000199356 226: -9.99499e-20 363: -0.000188957 364: 9.91029e-20 588: 0.000146755 590: 0.000132904 591: 0.000125972
Row 24: 3: 0.0021202 23: 0.00199356 24: 0.0119838 50: 0.00387167 51: 0.00399832 103: -0.000424041 104: -7.06735e-05 107: -0.00021202 108: -1.69407e-21 219: -0.000398711 220: -6.64519e-05 223: -0.000199356 224: -1.10114e-19 225: -0.000774334 226: 0.000129056 227: -0.000799664 228: 0.000133277 369: -0.000187812 370: 9.74088e-20 590: 0.000132904 592: 0.000141347 593: 0.000125208
Row 25: 3: 0.00206988 25: 0.0116385 26: 0.00188344 51: 0.0039358 52: 0.00374936 105: -0.000413976 106: -6.89961e-05 107: -0.000206988 108: -1.11808e-19 229: -0.000376688 230: 6.27814e-05 231: -0.00078716 232: 0.000131193 233: -0.000749873 234: 0.000124979 237: -0.000188344 238: -9.65618e-20 375: -0.000186592 376: 9.65618e-20 594: 0.000137992 595: 0.000125563 596: 0.000124395
Row 26: 25: 0.00188344 26: 0.0114438 27: 0.00203762 52: 0.00368429 53: 0.00383847 229: -0.000376688 230: -6.27814e-05 233: -0.000188344 234: -1.03338e-19 235: -0.000407524 236: 6.79206e-05 237: -0.000736858 238: 0.00012281 239: -0.000767694 240: 0.000127949 243: -0.000203762 244: -1.05032e-19 379: -0.000180085 380: 9.06325e-20 595: 0.000125563 597: 0.000135841 598: 0.000120057
Row 27: 26: 0.00203762 27: 0.0123403 28: 0.00211603 53: 0.00405413 54: 0.00413254 235: -0.000407524 236: -6.79206e-05 239: -0.000203762 240: -1.11808e-19 241: -0.000423207 242: 7.05344e-05 243: -0.000810825 244: 0.000135138 245: -0.000826508 246: 0.000137751 249: -0.000211603 250: -1.05879e-19 385: -0.000201651 386: 1.01644e-19 597: 0.000135841 599: 0.000141069 600: 0.000134434
Row 28: 27: 0.00211603 28: 0.0127379 29: 0.00211513 54: 0.00425383 55: 0.00425292 241: -0.000423207 242: -7.05344e-05 245: -0.000211603 246: -1.15196e-19 247: -0.000423026 248: 7.05043e-05 249: -0.000850766 250: 0.000141794 251: -0.000850585 252: 0.000141764 255: -0.000211513 256: -1.07573e-19 391: -0.00021378 392: 1.09267e-19 599: 0.000141069 601: 0.000141009 602: 0.00014252
Row 29: 28: 0.00211513 29: 0.0142439 30: 0.00233526 55: 0.00478668 56: 0.00500681 247: -0.000423026 248: -7.05043e-05 251: -0.000211513 252: -1.13502e-19 253: -0.000467051 254: 7.78419e-05 255: -0.000957337 256: 0.000159556 257: -0.00100136 258: 0.000166894 261: -0.000233526 262: -1.20279e-19 397: -0.000267156 398: 1.32137e-19 601: 0.000141009 603: 0.000155684 604: 0.000178104
Row 30: 29: 0.00233526 30: 0.00934103 31: 0.00233526 56: 0.00467051 253: -0.000467051 254: -7.78419e-05 257: -0.000233526 258: -1.27055e-19 259: -0.000467051 260: 7.78419e-05 261: -0.000934103 262: 0.000155684 265: -0.000233526 266: -1.20279e-19 603: 0.000155684 605: 0.000155684
Row 31: 0: 0.00260417 4: 0.00626195 30: 0.00233526 31: 0.0251482 32: 0.00763469 56: 0.00631216 89: -0.000260417 90: -8.47033e-21 91: -0.000520833 92: -8.68056e-05 111: -0.00125239 112: -0.000208732 113: -0.000365778 114: -6.77626e-21 259: -0.000467051 260: -7.78419e-05 261: -0.000233526 262: -1.27055e-19 263: -0.00152694 264: 0.00025449 265: -0.00126243 266: 0.000210405 269: -0.00039769 270: -2.04982e-19 553: 0.000173611 605: 0.000155684 606: 0.000243852 609: 0.000265127
Row 32: 4: 0.00631976 5: 0.00554195 31: 0.00763469 32: 0.0379323 33: 0.0056596 56: 0.00698676 58: 0.00578949 109: -0.000266198 110: -6.77626e-21 111: -0.000365778 112: -1.999e-19 113: -0.00126395 114: -0.000210659 117: -0.00110839 118: -0.000184732 119: -0.000287997 120: -1.35525e-20 263: -0.00152694 264: -0.00025449 265: -0.00039769 266: -2.1684e-19 267: -0.00113192 268: 0.000188653 269: -0.00139735 270: 0.000232892 271: -0.0011579 272: 0.000192983 277: -0.000277963 278: -1.42302e-19 403: -0.000300986 404: 1.57548e-19 554: 0.000177466 556: 0.000191998 606: 0.000243852 609: 0.000265127 611: 0.000185309 654: 0.000200657
Row 33: 5: 0.00545963 6: 0.00516376 32: 0.0056596 33: 0.032377 34: 0.00526743 57: 0.00536515 58: 0.00546145 115: -0.000257966 116: -1.01644e-20 117: -0.000287997 118: -1.55854e-19 119: -0.00109193 120: -0.000181988 123: -0.00103275 124: -0.000172125 125: -0.00025841 126: -8.47033e-21 267: -0.00113192 268: -0.000188653 271: -0.000277963 272: -1.50772e-19 273: -0.00105349 274: 0.000175581 275: -0.00107303 276: 0.000178838 277: -0.00109229 278: 0.000182048 281: -0.000268333 282: -1.35525e-19 407: -0.000268182 408: -1.38913e-19 555: 0.000171977 556: 0.000191998 558: 0.000172273 610: 0.000178889 611: 0.000185309 612: 0.000178788
Row 34: 6: 0.0050889 7: 0.00485228 33: 0.00526743 34: 0.0303218 35: 0.00480761 57: 0.00526439 76: 0.00504119 121: -0.000250481 122: -3.38813e-21 123: -0.00025841 124: -1.42302e-19 125: -0.00101778 126: -0.00016963 129: -0.000970455 130: -0.000161743 131: -0.000234747 132: -6.77626e-21 273: -0.00105349 274: -0.000175581 275: -0.000268333 276: -1.47384e-19 279: -0.000961522 280: 0.000160254 281: -0.00105288 282: 0.00017548 283: -0.00100824 284: 0.00016804 289: -0.000246014 290: -1.28749e-19 409: -0.000258105 410: 1.32137e-19 557: 0.000166987 558: 0.000172273 560: 0.000156498 610: 0.000178889 649: 0.000164009 650: 0.00017207
Row 35: 7: 0.00466364 8: 0.00429888 34: 0.00480761 35: 0.0270042 36: 0.00411982 59: 0.0043956 76: 0.00471864 127: -0.000231617 128: -8.47033e-21 129: -0.000234747 130: -1.28749e-19 131: -0.000932728 132: -0.000155455 135: -0.000859776 136: -0.000143296 137: -0.000198271 138: -5.0822e-21 279: -0.000961522 280: -0.000160254 283: -0.000246014 284: -1.33831e-19 285: -0.000823963 286: 0.000137327 287: -0.00087912 288: 0.00014652 289: -0.000943727 290: 0.000157288 293: -0.000213711 294: -1.11808e-19 421: -0.00022585 422: -1.15196e-19 559: 0.000154411 560: 0.000156498 562: 0.000132181 613: 0.000142474 649: 0.000164009 651: 0.000150566
Row 36: 8: 0.00401057 9: 0.00386781 35: 0.00411982 36: 0.0226045 37: 0.00349983 59: 0.00379188 60: 0.00331465 133: -0.000202786 134: -1.69407e-21 135: -0.000198271 136: -1.10114e-19 137: -0.000802113 138: -0.000133686 141: -0.000773562 142: -0.000128927 143: -0.000183995 144: -5.0822e-21 285: -0.000823963 286: -0.000137327 287: -0.000213711 288: -1.15196e-19 291: -0.000699966 292: 0.000116661 293: -0.000758375 294: 0.000126396 295: -0.000662929 296: 0.000110488 299: -0.000165988 300: -8.47033e-20 419: -0.000165477 420: 8.47033e-20 561: 0.00013519 562: 0.000132181 564: 0.000122664 613: 0.000142474 614: 0.000110658 615: 0.000110318
Row 37: 9: 0.00382247 10: 0.00384522 36: 0.00349983 37: 0.0213401 38: 0.00367961 60: 0.00316799 61: 0.00332502 139: -0.000198252 140: -5.0822e-21 141: -0.000183995 142: -9.99499e-20 143: -0.000764495 144: -0.000127416 145: -0.000769044 146: -0.000128174 147: -0.00018627 148: -5.0822e-21 291: -0.000699966 292: -0.000116661 295: -0.000165988 296: -8.97855e-20 297: -0.000735922 298: 0.000122654 299: -0.000633598 300: 0.0001056 301: -0.000665004 302: 0.000110834 305: -0.000181691 306: -9.31736e-20 427: -0.000150811 428: 7.708e-20 563: 0.000132168 564: 0.000122664 566: 0.00012418 614: 0.000110658 616: 0.000121127 617: 0.000100541
Row 38: 1: 0.00432466 10: 0.00405951 11: 0.00399143 37: 0.00367961 38: 0.0232414 39: 0.00361642 61: 0.00356975 93: -0.00021968 94: -1.18585e-19 95: -0.000212786 96: -1.69407e-21 97: -0.000864932 98: -0.000144155 145: -0.00018627 146: -1.01644e-19 147: -0.000811901 148: -0.000135317 151: -0.000798287 152: -0.000133048 153: -0.000186358 154: -5.0822e-21 297: -0.000735922 298: -0.000122654 301: -0.000181691 302: -9.82558e-20 303: -0.000723284 304: 0.000120547 305: -0.00071395 306: 0.000118992 309: -0.000175284 310: -8.89385e-20 565: 0.000146454 566: 0.00012418 567: 0.000141857 569: 0.000124239 616: 0.000121127 618: 0.000116856
Row 39: 11: 0.0037184 12: 0.00358779 38: 0.00361642 39: 0.0204391 40: 0.00329988 61: 0.00320125 63: 0.00301532 149: -0.000185482 150: -5.0822e-21 151: -0.000186358 152: -1.01644e-19 153: -0.00074368 154: -0.000123947 157: -0.000717558 158: -0.000119593 159: -0.000173297 160: -3.38813e-21 303: -0.000723284 304: -0.000120547 305: -0.000175284 306: -9.57147e-20 307: -0.000659976 308: 0.000109996 309: -0.000640249 310: 0.000106708 311: -0.000603063 312: 0.000100511 317: -0.000156692 318: -8.13152e-20 431: -0.00014484 432: 7.708e-20 568: 0.000123655 569: 0.000124239 571: 0.000115531 618: 0.000116856 620: 0.000104461 621: 9.65601e-05
Row 40: 12: 0.00359395 13: 0.00370416 39: 0.00329988 40: 0.0211602 41: 0.00383982 62: 0.00357607 63: 0.00314633 155: -0.000186098 156: -3.38813e-21 157: -0.000173297 158: -9.31736e-20 159: -0.00071879 160: -0.000119798 163: -0.000740831 164: -0.000123472 165: -0.000184317 166: -6.77626e-21 307: -0.000659976 308: -0.000109996 311: -0.000156692 312: -8.38563e-20 313: -0.000767964 314: 0.000127994 315: -0.000715213 316: 0.000119202 317: -0.000629266 318: 0.000104878 321: -0.000199665 322: -1.01644e-19 435: -0.000157942 436: -7.87741e-20 570: 0.000124065 571: 0.000115531 573: 0.000122878 619: 0.00013311 620: 0.000104461 622: 0.000105294
Row 41: 13: 0.00395068 14: 0.00424654 40: 0.00383982 41: 0.0248435 42: 0.00437304 62: 0.00409803 64: 0.00433538 161: -0.00021075 162: -3.38813e-21 163: -0.000184317 164: -1.01644e-19 165: -0.000790135 166: -0.000131689 169: -0.000849308 170: -0.000141551 171: -0.000213904 172: -3.38813e-21 313: -0.000767964 314: -0.000127994 315: -0.000199665 316: -1.06726e-19 319: -0.000874608 320: 0.000145768 321: -0.000819605 322: 0.000136601 323: -0.000867076 324: 0.000144513 327: -0.0002234 328: -1.11808e-19 437: -0.000210138 438: 1.05032e-19 572: 0.0001405 573: 0.000122878 575: 0.000142603 619: 0.00013311 623: 0.000148934 624: 0.000140092
Row 42: 14: 0.00440804 15: 0.00459841 41: 0.00437304 42: 0.0276966 43: 0.00476817 64: 0.0046721 65: 0.00487685 167: -0.0002269 168: -5.0822e-21 169: -0.000213904 170: -1.16891e-19 171: -0.000881608 172: -0.000146935 175: -0.000919682 176: -0.00015328 177: -0.000232941 178: -8.47033e-21 319: -0.000874608 320: -0.000145768 323: -0.0002234 324: -1.18585e-19 325: -0.000953634 326: 0.000158939 327: -0.00093442 328: 0.000155737 329: -0.000975371 330: 0.000162562 333: -0.000243876 334: -1.23667e-19 445: -0.000243809 446: 1.23667e-19 574: 0.000151267 575: 0.000142603 577: 0.000155294 623: 0.000148934 625: 0.000162584 626: 0.00016254
Row 43: 15: 0.00463078 16: 0.00464083 42: 0.00476817 43: 0.0285427 44: 0.00476252 65: 0.00487807 66: 0.00486237 173: -0.000230137 174: -6.77626e-21 175: -0.000232941 176: -1.27055e-19 177: -0.000926155 178: -0.000154359 181: -0.000928166 182: -0.000154694 183: -0.000233946 184: -8.47033e-21 325: -0.000953634 326: -0.000158939 329: -0.000243876 330: -1.35525e-19 331: -0.000952504 332: 0.000158751 333: -0.000975614 334: 0.000162602 335: -0.000972474 336: 0.000162079 339: -0.000242306 340: -1.23667e-19 451: -0.000243931 452: 1.27055e-19 576: 0.000153425 577: 0.000155294 579: 0.000155964 625: 0.000162584 627: 0.000161537 628: 0.000162621
Row 44: 16: 0.00452657 17: 0.00525467 18: 0.0054809 43: 0.00476252 44: 0.0290393 45: 0.00450246 66: 0.00451218 179: -0.000218711 180: -6.77626e-21 181: -0.000233946 182: -1.25361e-19 183: -0.000905313 184: -0.000150886 185: -0.000306756 186: -6.77626e-21 187: -0.00105093 188: -0.000175156 191: -0.00109618 192: -0.000182697 193: -0.000241334 194: -1.01644e-20 331: -0.000952504 332: -0.000158751 335: -0.000242306 336: -1.30443e-19 337: -0.000900492 338: 0.000150082 339: -0.000902436 340: 0.000150406 343: -0.000208912 344: -1.05879e-19 578: 0.000145807 579: 0.000155964 607: 0.000204504 608: 0.000160889 627: 0.000161537 629: 0.000139275
Row 45: 18: 0.0045072 19: 0.00407319 44: 0.00450246 45: 0.0213414 46: 0.00407437 66: 0.00418416 189: -0.000209386 190: -5.0822e-21 191: -0.000241334 192: -1.30443e-19 193: -0.000901439 194: -0.00015024 197: -0.000814637 198: -0.000135773 199: -0.000197933 200: -6.77626e-21 337: -0.000900492 338: -0.000150082 339: -0.000208912 340: -1.15196e-19 341: -0.000814874 342: 0.000135812 343: -0.000836832 344: 0.000139472 347: -0.000209504 348: -1.07573e-19 581: 0.00013959 583: 0.000131955 608: 0.000160889 629: 0.000139275 633: 0.000139669
Row 46: 19: 0.00444684 20: 0.00489406 45: 0.00407437 46: 0.0294569 47: 0.00532172 66: 0.00495988 68: 0.00576001 195: -0.000246751 196: -8.47033e-21 197: -0.000197933 198: -1.10114e-19 199: -0.000889369 200: -0.000148228 203: -0.000978813 204: -0.000163135 205: -0.000242655 206: -5.0822e-21 341: -0.000814874 342: -0.000135812 343: -0.000209504 344: -1.13502e-19 345: -0.00106434 346: 0.000177391 347: -0.000991976 348: 0.000165329 349: -0.001152 350: 0.000192 355: -0.000289517 356: -1.49078e-19 457: -0.000286484 458: 1.4569e-19 582: 0.000164501 583: 0.000131955 585: 0.00016177 631: 0.000193011 633: 0.000139669 652: 0.000190989
Row 47: 20: 0.00496588 21: 0.00497358 46: 0.00532172 47: 0.0313273 48: 0.00488582 67: 0.00536837 68: 0.00581196 201: -0.000253933 202: -5.0822e-21 203: -0.000242655 204: -1.30443e-19 205: -0.000993176 206: -0.000165529 209: -0.000994716 210: -0.000165786 211: -0.000243425 212: -6.77626e-21 345: -0.00106434 346: -0.000177391 349: -0.000289517 350: -1.57548e-19 351: -0.000977164 352: 0.000162861 353: -0.00107367 354: 0.000178946 355: -0.00116239 356: 0.000193732 359: -0.000245157 360: -1.27055e-19 459: -0.00029168 460: -1.5416e-19 584: 0.000169289 585: 0.00016177 587: 0.000162283 630: 0.000163438 631: 0.000193011 632: 0.000194453
Row 48: 21: 0.004813 22: 0.00456035 47: 0.00488582 48: 0.0281709 49: 0.00443078 67: 0.00484169 69: 0.0046393 207: -0.000237875 208: -3.38813e-21 209: -0.000243425 210: -1.33831e-19 211: -0.0009626 212: -0.000160433 215: -0.00091207 216: -0.000152012 217: -0.00021816 218: -6.77626e-21 351: -0.000977164 352: -0.000162861 353: -0.000245157 354: -1.30443e-19 357: -0.000886155 358: 0.000147693 359: -0.000968339 360: 0.00016139 361: -0.00092786 362: 0.000154643 365: -0.000224918 366: -1.15196e-19 461: -0.000239012 462: 1.23667e-19 586: 0.000158583 587: 0.000162283 589: 0.00014544 630: 0.000163438 634: 0.000149945 635: 0.000159342
Row 49: 22: 0.00438292 23: 0.0040909 48: 0.00443078 49: 0.0251788 50: 0.00391959 69: 0.00428688 70: 0.00406772 213: -0.000220132 214: -5.0822e-21 215: -0.00021816 216: -1.18585e-19 217: -0.000876585 218: -0.000146097 221: -0.000818179 222: -0.000136363 223: -0.000188957 224: -6.77626e-21 357: -0.000886155 358: -0.000147693 361: -0.000224918 362: -1.20279e-19 363: -0.000783917 364: 0.000130653 365: -0.000857376 366: 0.000142896 367: -0.000813543 368: 0.000135591 371: -0.000203001 372: -1.05032e-19 471: -0.00020377 472: 1.04185e-19 588: 0.000146755 589: 0.00014544 591: 0.000125972 634: 0.000149945 636: 0.000135334 637: 0.000135847
Row 50: 23: 0.00388313 24: 0.00387167 49: 0.00391959 50: 0.0219381 51: 0.00346798 70: 0.00361792 71: 0.00317777 219: -0.000199356 220: -3.38813e-21 221: -0.000188957 222: -1.03338e-19 223: -0.000776626 224: -0.000129438 225: -0.000774334 226: -0.000129056 227: -0.000187812 228: -6.77626e-21 363: -0.000783917 364: -0.000130653 367: -0.000203001 368: -1.11808e-19 369: -0.000693597 370: 0.000115599 371: -0.000723584 372: 0.000120597 373: -0.000635555 374: 0.000105926 377: -0.000158987 378: -8.04681e-20 477: -0.000158791 478: 8.21622e-20 590: 0.000132904 591: 0.000125972 593: 0.000125208 636: 0.000135334 638: 0.000105991 639: 0.00010586
Row 51: 3: 0.00419009 24: 0.00399832 25: 0.0039358 50: 0.00346798 51: 0.0221543 52: 0.00341909 71: 0.00314304 103: -0.00021202 104: -1.13502e-19 105: -0.000206988 106: -5.0822e-21 107: -0.000838017 108: -0.00013967 225: -0.000187812 226: -9.99499e-20 227: -0.000799664 228: -0.000133277 231: -0.00078716 232: -0.000131193 233: -0.000186592 234: -6.77626e-21 369: -0.000693597 370: -0.000115599 373: -0.000158987 374: -8.55503e-20 375: -0.000683818 376: 0.00011397 377: -0.000628608 378: 0.000104768 381: -0.000155317 382: -8.04681e-20 592: 0.000141347 593: 0.000125208 594: 0.000137992 596: 0.000124395 638: 0.000105991 640: 0.000103545
Row 52: 25: 0.00374936 26: 0.00368429 51: 0.00341909 52: 0.0211724 53: 0.0037353 71: 0.00310154 73: 0.00348282 229: -0.000188344 230: -5.0822e-21 231: -0.000186592 232: -1.01644e-19 233: -0.000749873 234: -0.000124979 237: -0.000736858 238: -0.00012281 239: -0.000180085 240: -5.0822e-21 375: -0.000683818 376: -0.00011397 377: -0.000155317 378: -8.47033e-20 379: -0.00074706 380: 0.00012451 381: -0.000620308 382: 0.000103385 383: -0.000696564 384: 0.000116094 389: -0.000193445 390: -9.82558e-20 483: -0.000154837 484: 7.96211e-20 595: 0.000125563 596: 0.000124395 598: 0.000120057 640: 0.000103545 642: 0.000128963 643: 0.000103225
Row 53: 26: 0.00383847 27: 0.00405413 52: 0.0037353 53: 0.023754 54: 0.00411937 72: 0.00408758 73: 0.00391917 235: -0.000203762 236: -1.01644e-20 237: -0.000180085 238: -9.82558e-20 239: -0.000767694 240: -0.000127949 243: -0.000810825 244: -0.000135138 245: -0.000201651 246: -6.77626e-21 379: -0.00074706 380: -0.00012451 383: -0.000193445 384: -1.06726e-19 385: -0.000823873 386: 0.000137312 387: -0.000817516 388: 0.000136253 389: -0.000783835 390: 0.000130639 393: -0.000210286 394: -1.05879e-19 485: -0.000198472 486: -9.99499e-20 597: 0.000135841 598: 0.000120057 600: 0.000134434 641: 0.000140191 642: 0.000128963 644: 0.000132315
Row 54: 27: 0.00413254 28: 0.00425383 53: 0.00411937 54: 0.0253679 55: 0.00431812 72: 0.00423331 74: 0.00431078 241: -0.000211603 242: -5.0822e-21 243: -0.000201651 244: -1.10114e-19 245: -0.000826508 246: -0.000137751 249: -0.000850766 250: -0.000141794 251: -0.00021378 252: -1.69407e-21 385: -0.000823873 386: -0.000137312 387: -0.000210286 388: -1.15196e-19 391: -0.000863625 392: 0.000143937 393: -0.000846662 394: 0.00014111 395: -0.000862156 396: 0.000143693 399: -0.000218033 400: -1.11808e-19 487: -0.000213045 488: 1.09267e-19 599: 0.000141069 600: 0.000134434 602: 0.00014252 641: 0.000140191 645: 0.000145355 646: 0.00014203
Row 55: 28: 0.00425292 29: 0.00478668 54: 0.00431812 55: 0.0269853 56: 0.00508117 74: 0.00415854 75: 0.00438783 247: -0.000211513 248: -5.0822e-21 249: -0.00021378 250: -1.16891e-19 251: -0.000850585 252: -0.000141764 255: -0.000957337 256: -0.000159556 257: -0.000267156 258: -3.38813e-21 391: -0.000863625 392: -0.000143937 395: -0.000218033 396: -1.18585e-19 397: -0.00101623 398: 0.000169372 399: -0.000831708 400: 0.000138618 401: -0.000877565 402: 0.000146261 405: -0.000240962 406: -1.21973e-19 495: -0.000197821 496: 1.02491e-19 601: 0.000141009 602: 0.00014252 604: 0.000178104 645: 0.000145355 647: 0.000160641 648: 0.000131881
Row 56: 29: 0.00500681 30: 0.00467051 31: 0.00631216 32: 0.00698676 55: 0.00508117 56: 0.0381509 58: 0.00534687 75: 0.00474663 253: -0.000233526 254: -6.77626e-21 255: -0.000267156 256: -1.43996e-19 257: -0.00100136 258: -0.000166894 259: -0.000233526 260: -6.77626e-21 261: -0.000934103 262: -0.000155684 263: -0.00039769 264: -1.35525e-20 265: -0.00126243 266: -0.000210405 269: -0.00139735 270: -0.000232892 271: -0.000300986 272: -6.77626e-21 397: -0.00101623 398: -0.000169372 401: -0.000240962 402: -1.32137e-19 403: -0.00106937 404: 0.000178229 405: -0.000949325 406: 0.000158221 415: -0.000233701 416: -1.21973e-19 603: 0.000155684 604: 0.000178104 605: 0.000155684 609: 0.000265127 647: 0.000160641 653: 0.000155801 654: 0.000200657
Row 57: 33: 0.00536515 34: 0.00526439 57: 0.033936 58: 0.00578195 76: 0.00536509 83: 0.00623774 86: 0.00592164 273: -0.000268333 274: -1.01644e-20 275: -0.00107303 276: -0.000178838 277: -0.000268182 278: -1.43996e-19 281: -0.00105288 282: -0.00017548 283: -0.000258105 284: -6.77626e-21 407: -0.00115639 408: 0.000192732 409: -0.00107302 410: 0.000178836 411: -0.00124755 412: 0.000207925 413: -0.00118433 414: 0.000197388 417: -0.000310013 418: 1.59242e-19 505: -0.000278403 506: -1.38913e-19 537: -0.000313761 538: 1.57548e-19 610: 0.000178889 612: 0.000178788 650: 0.00017207 669: 0.000206676 678: 0.000209174 679: 0.000185602
Row 58: 32: 0.00578949 33: 0.00546145 56: 0.00534687 57: 0.00578195 58: 0.0328567 75: 0.00485691 83: 0.00562003 267: -0.000277963 268: -1.35525e-20 269: -0.000300986 270: -1.6263e-19 271: -0.0011579 272: -0.000192983 275: -0.000268182 276: -1.01644e-20 277: -0.00109229 278: -0.000182048 403: -0.00106937 404: -0.000178229 405: -0.000233701 406: -1.28749e-19 407: -0.00115639 408: -0.000192732 411: -0.000310013 412: -6.77626e-21 415: -0.000971382 416: 0.000161897 417: -0.00112401 418: 0.000187334 501: -0.00025199 502: 1.27055e-19 611: 0.000185309 612: 0.000178788 653: 0.000155801 654: 0.000200657 668: 0.000167993 669: 0.000206676
Row 59: 35: 0.0043956 36: 0.00379188 59: 0.0254652 60: 0.00351493 76: 0.00462036 77: 0.00432034 85: 0.00482205 285: -0.000213711 286: -3.38813e-21 287: -0.00087912 288: -0.00014652 289: -0.00022585 290: -1.23667e-19 293: -0.000758375 294: -0.000126396 295: -0.000165477 296: -1.69407e-21 419: -0.000702987 420: 0.000117164 421: -0.000924072 422: 0.000154012 423: -0.000864069 424: 0.000144011 425: -0.00096441 426: 0.000160735 429: -0.000186016 430: -9.48677e-20 503: -0.000236187 504: 1.18585e-19 509: -0.000246018 510: -1.25361e-19 613: 0.000142474 615: 0.000110318 651: 0.000150566 657: 0.000124011 676: 0.000164012 683: 0.000157458
Row 60: 36: 0.00331465 37: 0.00316799 59: 0.00351493 60: 0.0168777 61: 0.00326403 77: 0.00361608 291: -0.000165988 292: -3.38813e-21 293: -0.000165477 294: -9.06325e-20 295: -0.000662929 296: -0.000110488 299: -0.000633598 300: -0.0001056 301: -0.000150811 302: -3.38813e-21 419: -0.000702987 420: -0.000117164 423: -0.000186016 424: -1.01644e-19 427: -0.000652805 428: 0.000108801 429: -0.000723215 430: 0.000120536 433: -0.000175591 434: -8.89385e-20 614: 0.000110658 615: 0.000110318 617: 0.000100541 655: 0.000117061 657: 0.000124011
Row 61: 37: 0.00332502 38: 0.00356975 39: 0.00320125 60: 0.00326403 61: 0.0200012 63: 0.0031668 77: 0.00347431 297: -0.000181691 298: -5.0822e-21 299: -0.000150811 300: -8.21622e-20 301: -0.000665004 302: -0.000110834 303: -0.000175284 304: -3.38813e-21 305: -0.00071395 306: -0.000118992 309: -0.000640249 310: -0.000106708 311: -0.00014484 312: -6.77626e-21 427: -0.000652805 428: -0.000108801 429: -0.000175591 430: -9.57147e-20 431: -0.00063336 432: 0.00010556 433: -0.000694863 434: 0.00011581 443: -0.00017184 444: -8.72444e-20 616: 0.000121127 617: 0.000100541 618: 0.000116856 621: 9.65601e-05 655: 0.000117061 656: 0.00011456
Row 62: 40: 0.00357607 41: 0.00409803 62: 0.0245033 63: 0.0034416 64: 0.0043553 77: 0.0043203 78: 0.00471204 313: -0.000199665 314: -5.0822e-21 315: -0.000715213 316: -0.000119202 317: -0.000157942 318: -8.47033e-20 321: -0.000819605 322: -0.000136601 323: -0.000210138 324: -3.38813e-21 435: -0.00068832 436: 0.00011472 437: -0.000871061 438: 0.000145177 439: -0.00086406 440: 0.00014401 441: -0.000942409 442: 0.000157068 443: -0.000186218 444: 9.48677e-20 447: -0.000225393 448: -1.15196e-19 507: -0.000245812 508: 1.27055e-19 619: 0.00013311 622: 0.000105294 624: 0.000140092 659: 0.000150262 675: 0.000124146 677: 0.000163874
Row 63: 39: 0.00301532 40: 0.00314633 61: 0.0031668 62: 0.0034416 63: 0.0163506 77: 0.00358058 307: -0.000156692 308: -5.0822e-21 309: -0.00014484 310: -7.96211e-20 311: -0.000603063 312: -0.000100511 315: -0.000157942 316: -3.38813e-21 317: -0.000629266 318: -0.000104878 431: -0.00063336 432: -0.00010556 433: -0.00017184 434: -9.31736e-20 435: -0.00068832 436: -0.00011472 439: -0.000186218 440: -6.77626e-21 443: -0.000716117 444: 0.000119353 620: 0.000104461 621: 9.65601e-05 622: 0.000105294 656: 0.00011456 675: 0.000124146
Row 64: 41: 0.00433538 42: 0.0046721 62: 0.0043553 64: 0.0283141 65: 0.00498998 78: 0.00483167 82: 0.00512963 319: -0.0002234 320: -5.0822e-21 321: -0.000210138 322: -1.15196e-19 323: -0.000867076 324: -0.000144513 327: -0.00093442 328: -0.000155737 329: -0.000243809 330: -1.18585e-20 437: -0.000871061 438: -0.000145177 441: -0.000225393 442: -1.25361e-19 445: -0.000997996 446: 0.000166333 447: -0.000966334 448: 0.000161056 449: -0.00102593 450: 0.000170988 455: -0.000255188 456: -1.28749e-19 511: -0.000257774 512: 1.30443e-19 623: 0.000148934 624: 0.000140092 626: 0.00016254 659: 0.000150262 665: 0.000170126 666: 0.00017185
Row 65: 42: 0.00487685 43: 0.00487807 64: 0.00498998 65: 0.0317285 66: 0.00527209 68: 0.00599622 82: 0.00571532 325: -0.000243876 326: -5.0822e-21 327: -0.000243809 328: -1.28749e-19 329: -0.000975371 330: -0.000162562 333: -0.000975614 334: -0.000162602 335: -0.000243931 336: -6.77626e-21 445: -0.000997996 446: -0.000166333 449: -0.000255188 450: -1.37219e-19 451: -0.00105442 452: 0.000175736 453: -0.00119924 454: 0.000199874 455: -0.00114306 456: 0.000190511 457: -0.000283278 458: -1.42302e-19 469: -0.000316344 470: -1.59242e-19 625: 0.000162584 626: 0.00016254 628: 0.000162621 658: 0.000188852 665: 0.000170126 667: 0.000210896
Row 66: 43: 0.00486237 44: 0.00451218 45: 0.00418416 46: 0.00495988 65: 0.00527209 66: 0.0294883 68: 0.00569762 331: -0.000242306 332: -1.01644e-20 333: -0.000243931 334: -1.30443e-19 335: -0.000972474 336: -0.000162079 337: -0.000208912 338: -3.38813e-21 339: -0.000902436 340: -0.000150406 341: -0.000209504 342: -6.77626e-21 343: -0.000836832 344: -0.000139472 347: -0.000991976 348: -0.000165329 349: -0.000286484 350: -6.77626e-21 451: -0.00105442 452: -0.000175736 453: -0.000283278 454: -1.52466e-19 457: -0.00113952 458: 0.000189921 627: 0.000161537 628: 0.000162621 629: 0.000139275 633: 0.000139669 652: 0.000190989 658: 0.000188852
Row 67: 47: 0.00536837 48: 0.00484169 67: 0.0304465 68: 0.00595629 69: 0.00453726 80: 0.00442524 81: 0.0053176 351: -0.000245157 352: -5.0822e-21 353: -0.00107367 354: -0.000178946 355: -0.00029168 356: -1.60936e-19 359: -0.000968339 360: -0.00016139 361: -0.000239012 362: -5.0822e-21 459: -0.00119126 460: 0.000198543 461: -0.000907453 462: 0.000151242 463: -0.000885049 464: 0.000147508 465: -0.00106352 466: 0.000177253 467: -0.000303949 468: 1.57548e-19 475: -0.000214714 476: -1.07573e-19 523: -0.00022781 524: -1.15196e-19 630: 0.000163438 632: 0.000194453 635: 0.000159342 661: 0.000143143 663: 0.000202633 664: 0.000151874
Row 68: 46: 0.00576001 47: 0.00581196 65: 0.00599622 66: 0.00569762 67: 0.00595629 68: 0.0416491 81: 0.00615153 82: 0.00627548 345: -0.000289517 346: -3.38813e-21 347: -0.000286484 348: -1.57548e-19 349: -0.001152 350: -0.000192 353: -0.00029168 354: -6.77626e-21 355: -0.00116239 356: -0.000193732 451: -0.000283278 452: -6.77626e-21 453: -0.00119924 454: -0.000199874 455: -0.000316344 456: -1.67713e-19 457: -0.00113952 458: -0.000189921 459: -0.00119126 460: -0.000198543 465: -0.000303949 466: -6.77626e-21 467: -0.00123031 468: 0.000205051 469: -0.0012551 470: 0.000209183 527: -0.000311204 528: -1.59242e-19 631: 0.000193011 632: 0.000194453 652: 0.000190989 658: 0.000188852 663: 0.000202633 667: 0.000210896 674: 0.000207469
Row 69: 48: 0.0046393 49: 0.00428688 67: 0.00453726 69: 0.0269626 70: 0.00443527 79: 0.00465717 80: 0.00440675 357: -0.000224918 358: -6.77626e-21 359: -0.000239012 360: -1.30443e-19 361: -0.00092786 362: -0.000154643 365: -0.000857376 366: -0.000142896 367: -0.00020377 368: -5.0822e-21 461: -0.000907453 462: -0.000151242 463: -0.000214714 464: -1.16891e-19 471: -0.000887054 472: 0.000147842 473: -0.000931434 474: 0.000155239 475: -0.000881349 476: 0.000146892 481: -0.000239756 482: -1.21973e-19 517: -0.000225961 518: -1.13502e-19 634: 0.000149945 635: 0.000159342 637: 0.000135847 660: 0.000159838 661: 0.000143143 662: 0.00015064
Row 70: 49: 0.00406772 50: 0.00361792 69: 0.00443527 70: 0.0239648 71: 0.00319935 73: 0.0039292 79: 0.00471532 363: -0.000203001 364: -5.0822e-21 365: -0.00020377 366: -1.11808e-19 367: -0.000813543 368: -0.000135591 371: -0.000723584 372: -0.000120597 373: -0.000158791 374: -5.0822e-21 471: -0.000887054 472: -0.000147842 473: -0.000239756 474: -1.30443e-19 477: -0.000639869 478: 0.000106645 479: -0.00078584 480: 0.000130973 481: -0.000943064 482: 0.000157177 483: -0.000161144 484: -8.13152e-20 493: -0.000231776 494: -1.20279e-19 636: 0.000135334 637: 0.000135847 639: 0.00010586 660: 0.000159838 670: 0.000107429 673: 0.000154517
Row 71: 50: 0.00317777 51: 0.00314304 52: 0.00310154 70: 0.00319935 71: 0.0157815 73: 0.00315981 369: -0.000158987 370: -6.77626e-21 371: -0.000158791 372: -8.72444e-20 373: -0.000635555 374: -0.000105926 375: -0.000155317 376: -5.0822e-21 377: -0.000628608 378: -0.000104768 381: -0.000620308 382: -0.000103385 383: -0.000154837 384: -5.0822e-21 477: -0.000639869 478: -0.000106645 479: -0.000161144 480: -8.72444e-20 483: -0.000631962 484: 0.000105327 638: 0.000105991 639: 0.00010586 640: 0.000103545 643: 0.000103225 670: 0.000107429
Row 72: 53: 0.00408758 54: 0.00423331 72: 0.0256379 73: 0.00431662 74: 0.00412739 79: 0.00460399 84: 0.00426903 385: -0.000210286 386: -3.38813e-21 387: -0.000817516 388: -0.000136253 389: -0.000198472 390: -1.0842e-19 393: -0.000846662 394: -0.00014111 395: -0.000213045 396: -5.0822e-21 485: -0.000863324 486: 0.000143887 487: -0.000825477 488: 0.00013758 489: -0.000920798 490: 0.000153466 491: -0.000853806 492: 0.000142301 493: -0.00023319 494: 1.16891e-19 499: -0.000199694 500: -1.01644e-19 519: -0.00022721 520: 1.15196e-19 641: 0.000140191 644: 0.000132315 646: 0.00014203 672: 0.000133129 681: 0.00015546 682: 0.000151473
Row 73: 52: 0.00348282 53: 0.00391917 70: 0.0039292 71: 0.00315981 72: 0.00431662 73: 0.0234573 79: 0.00464965 379: -0.000193445 380: -6.77626e-21 381: -0.000154837 382: -8.38563e-20 383: -0.000696564 384: -0.000116094 387: -0.000198472 388: -6.77626e-21 389: -0.000783835 390: -0.000130639 477: -0.000161144 478: -6.77626e-21 479: -0.00078584 480: -0.000130973 481: -0.000231776 482: -1.23667e-19 483: -0.000631962 484: -0.000105327 485: -0.000863324 486: -0.000143887 489: -0.00023319 490: -1.01644e-20 493: -0.000929931 494: 0.000154988 642: 0.000128963 643: 0.000103225 644: 0.000132315 670: 0.000107429 673: 0.000154517 681: 0.00015546
Row 74: 54: 0.00431078 55: 0.00415854 72: 0.00412739 74: 0.0261731 75: 0.00435634 83: 0.00480064 84: 0.00441945 391: -0.000218033 392: -6.77626e-21 393: -0.000213045 394: -1.13502e-19 395: -0.000862156 396: -0.000143693 399: -0.000831708 400: -0.000138618 401: -0.000197821 402: -6.77626e-21 487: -0.000825477 488: -0.00013758 491: -0.000199694 492: -1.0842e-19 495: -0.000871268 496: 0.000145211 497: -0.000960129 498: 0.000160021 499: -0.000883889 500: 0.000147315 501: -0.000237813 502: -1.23667e-19 535: -0.000242251 536: -1.20279e-19 645: 0.000145355 646: 0.00014203 648: 0.000131881 671: 0.000158542 672: 0.000133129 680: 0.000161501
Row 75: 55: 0.00438783 56: 0.00474663 58: 0.00485691 74: 0.00435634 75: 0.0232457 83: 0.00489803 397: -0.000240962 398: -1.69407e-21 399: -0.000197821 400: -1.0842e-19 401: -0.000877565 402: -0.000146261 403: -0.000233701 404: -6.77626e-21 405: -0.000949325 406: -0.000158221 415: -0.000971382 416: -0.000161897 417: -0.00025199 418: -6.77626e-21 495: -0.000871268 496: -0.000145211 497: -0.000237813 498: -1.27055e-19 501: -0.000979606 502: 0.000163268 647: 0.000160641 648: 0.000131881 653: 0.000155801 668: 0.000167993 671: 0.000158542
Row 76: 34: 0.00504119 35: 0.00471864 57: 0.00536509 59: 0.00462036 76: 0.0303473 85: 0.00508992 86: 0.00551209 279: -0.000246014 280: -8.47033e-21 281: -0.000258105 282: -1.40607e-19 283: -0.00100824 284: -0.00016804 287: -0.00022585 288: -5.0822e-21 289: -0.000943727 290: -0.000157288 409: -0.00107302 410: -0.000178836 413: -0.000278403 414: -1.47384e-19 421: -0.000924072 422: -0.000154012 425: -0.000236187 426: -1.01644e-20 503: -0.00101798 504: 0.000169664 505: -0.00110242 506: 0.000183736 543: -0.000272806 544: -1.40607e-19 649: 0.000164009 650: 0.00017207 651: 0.000150566 679: 0.000185602 683: 0.000157458 691: 0.00018187
Row 77: 59: 0.00432034 60: 0.00361608 61: 0.00347431 62: 0.0043203 63: 0.00358058 77: 0.0295979 78: 0.00514212 85: 0.00514419 419: -0.000186016 420: -5.0822e-21 423: -0.000864069 424: -0.000144011 425: -0.000246018 426: -1.32137e-19 427: -0.000175591 428: -6.77626e-21 429: -0.000723215 430: -0.000120536 431: -0.00017184 432: -5.0822e-21 433: -0.000694863 434: -0.00011581 435: -0.000186218 436: -1.03338e-19 439: -0.00086406 440: -0.00014401 441: -0.000245812 442: -1.01644e-20 443: -0.000716117 444: -0.000119353 507: -0.00102842 508: 0.000171404 509: -0.00102884 510: 0.000171473 513: -0.0002684 514: -1.35525e-19 655: 0.000117061 656: 0.00011456 657: 0.000124011 675: 0.000124146 676: 0.000164012 677: 0.000163874 686: 0.000178934
Row 78: 62: 0.00471204 64: 0.00483167 77: 0.00514212 78: 0.030798 82: 0.00532182 85: 0.00536513 88: 0.0054252 437: -0.000225393 438: -5.0822e-21 439: -0.000245812 440: -1.33831e-19 441: -0.000942409 442: -0.000157068 447: -0.000966334 448: -0.000161056 449: -0.000257774 450: -8.47033e-21 507: -0.00102842 508: -0.000171404 509: -0.0002684 510: -1.43996e-19 511: -0.00106436 512: 0.000177394 513: -0.00107303 514: 0.000178838 515: -0.00108504 516: 0.00018084 533: -0.000274408 534: -1.37219e-19 545: -0.000268112 546: 1.38913e-19 659: 0.000150262 666: 0.00017185 677: 0.000163874 686: 0.000178934 687: 0.000182938 688: 0.000178742
Row 79: 69: 0.00465717 70: 0.00471532 72: 0.00460399 73: 0.00464965 79: 0.0340738 80: 0.00500643 84: 0.00498325 87: 0.00545798 471: -0.000239756 472: -8.47033e-21 473: -0.000931434 474: -0.000155239 475: -0.000225961 476: -1.21973e-19 479: -0.000231776 480: -3.38813e-21 481: -0.000943064 482: -0.000157177 485: -0.00023319 486: -1.27055e-19 489: -0.000920798 490: -0.000153466 491: -0.00022721 492: -5.0822e-21 493: -0.000929931 494: -0.000154988 517: -0.00100129 518: 0.000166881 519: -0.00099665 520: 0.000166108 521: -0.0010916 522: 0.000181933 525: -0.000274682 526: 1.42302e-19 541: -0.000271116 542: -1.38913e-19 660: 0.000159838 662: 0.00015064 673: 0.000154517 681: 0.00015546 682: 0.000151473 684: 0.000183121 685: 0.000180744
Row 80: 67: 0.00442524 69: 0.00440675 79: 0.00500643 80: 0.0240796 81: 0.00488622 87: 0.00535493 461: -0.000214714 462: -1.01644e-20 463: -0.000885049 464: -0.000147508 465: -0.00022781 466: -1.23667e-19 473: -0.000225961 474: -5.0822e-21 475: -0.000881349 476: -0.000146892 517: -0.00100129 518: -0.000166881 521: -0.000274682 522: -8.47033e-21 523: -0.000977243 524: 0.000162874 525: -0.00107099 526: 0.000178498 529: -0.000260811 530: 1.33831e-19 661: 0.000143143 662: 0.00015064 664: 0.000151874 684: 0.000183121 690: 0.000173874
Row 81: 67: 0.0053176 68: 0.00615153 80: 0.00488622 81: 0.0338101 82: 0.00586571 87: 0.00572173 88: 0.00586729 459: -0.000303949 460: -1.67713e-19 463: -0.00022781 464: -8.47033e-21 465: -0.00106352 466: -0.000177253 467: -0.00123031 468: -0.000205051 469: -0.000311204 470: -1.69407e-19 523: -0.000977243 524: -0.000162874 525: -0.000260811 526: -1.01644e-20 527: -0.00117314 528: 0.000195524 529: -0.00114435 530: 0.000190724 531: -0.00117346 532: 0.000195576 533: -0.000275367 534: 1.40607e-19 551: -0.000311362 552: -1.59242e-19 663: 0.000202633 664: 0.000151874 674: 0.000207469 689: 0.000183578 690: 0.000173874 694: 0.000207574
Row 82: 64: 0.00512963 65: 0.00571532 68: 0.00627548 78: 0.00532182 81: 0.00586571 82: 0.0338057 88: 0.00549775 445: -0.000255188 446: -8.47033e-21 447: -0.000257774 448: -1.38913e-19 449: -0.00102593 450: -0.000170988 453: -0.000316344 454: -1.35525e-20 455: -0.00114306 456: -0.000190511 467: -0.000311204 468: -6.77626e-21 469: -0.0012551 470: -0.000209183 511: -0.00106436 512: -0.000177394 515: -0.000274408 516: -1.49078e-19 527: -0.00117314 528: -0.000195524 531: -0.000275367 532: -6.77626e-21 533: -0.00109955 534: 0.000183258 665: 0.000170126 666: 0.00017185 667: 0.000210896 674: 0.000207469 687: 0.000182938 689: 0.000183578
Row 83: 57: 0.00623774 58: 0.00562003 74: 0.00480064 75: 0.00489803 83: 0.0400086 84: 0.00532041 86: 0.00668572 87: 0.00644602 407: -0.000310013 408: -1.69407e-19 411: -0.00124755 412: -0.000207925 413: -0.000313761 414: -1.35525e-20 415: -0.00025199 416: -1.37219e-19 417: -0.00112401 418: -0.000187334 495: -0.000237813 496: -5.0822e-21 497: -0.000960129 498: -0.000160021 499: -0.000242251 500: -1.32137e-19 501: -0.000979606 502: -0.000163268 535: -0.00106408 536: 0.000177347 537: -0.00133714 538: 0.000222857 539: -0.0012892 540: 0.000214867 541: -0.00028979 542: 1.47384e-19 547: -0.000354811 548: -1.77877e-19 668: 0.000167993 669: 0.000206676 671: 0.000158542 678: 0.000209174 680: 0.000161501 692: 0.000193194 695: 0.000236541
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Row 85: 59: 0.00482205 76: 0.00508992 77: 0.00514419 78: 0.00536513 85: 0.0315844 86: 0.00560503 88: 0.0055581 421: -0.000236187 422: -1.27055e-19 423: -0.000246018 424: -3.38813e-21 425: -0.00096441 426: -0.000160735 503: -0.00101798 504: -0.000169664 505: -0.000272806 506: -1.50772e-19 507: -0.0002684 508: -8.47033e-21 509: -0.00102884 510: -0.000171473 513: -0.00107303 514: -0.000178838 515: -0.000268112 516: -1.01644e-20 543: -0.00112101 544: 0.000186834 545: -0.00111162 546: 0.00018527 549: -0.000287697 550: 1.4569e-19 676: 0.000164012 683: 0.000157458 686: 0.000178934 688: 0.000178742 691: 0.00018187 693: 0.000191798
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Row 160: 12: 0.000119798 13: -9.99499e-20 39: -3.38813e-21 40: -0.000119798 155: -4.43091e-06 156: 2.21545e-06 157: -4.12611e-06 158: 2.06306e-06 159: 1.43996e-20 160: 1.28355e-05 163: 4.43091e-06 164: 2.21545e-06 307: 4.12611e-06 308: 2.06306e-06 570: -8.15269e-21 571: -6.35275e-22
Row 161: 13: -0.000421501 14: -0.000421501 41: -0.00021075 161: 7.02501e-05 162: 4.23516e-22 165: 3.51251e-05 166: -5.01786e-06 169: 3.51251e-05 170: -5.01786e-06 572: -2.00715e-05
Row 162: 13: 7.02501e-05 14: -7.02501e-05 41: -3.38813e-21 161: 4.23516e-22 162: 7.5268e-06 165: -5.01786e-06 166: 2.50893e-06 169: 5.01786e-06 170: -2.50893e-06 572: -1.05879e-21
Row 163: 12: -0.000186098 13: -0.000740831 40: -0.000740831 41: -0.000184317 155: 3.10164e-05 156: 4.43091e-06 159: 3.10164e-05 160: 4.43091e-06 163: 0.000123472 164: 2.71051e-20 165: 3.07196e-05 166: -4.38851e-06 313: 3.07196e-05 314: -4.38851e-06 570: -1.77236e-05 573: -1.7554e-05
Row 164: 12: -9.31736e-20 13: 0.000123472 40: -0.000123472 41: -1.01644e-19 155: -4.43091e-06 156: -2.21545e-06 159: 4.43091e-06 160: 2.21545e-06 163: 2.71051e-20 164: 1.32291e-05 165: -4.38851e-06 166: 2.19425e-06 313: 4.38851e-06 314: -2.19425e-06 570: -6.88214e-21 573: -7.94093e-21
Row 165: 13: -0.000790135 14: -0.00021075 40: -0.000184317 41: -0.000790135 161: 3.51251e-05 162: -5.01786e-06 163: 3.07196e-05 164: -4.38851e-06 165: 0.000131689 166: 1.52466e-20 169: 3.51251e-05 170: 5.01786e-06 313: 3.07196e-05 314: 4.38851e-06 572: -2.00715e-05 573: -1.7554e-05
Row 166: 13: 0.000131689 14: -1.16891e-19 40: -6.77626e-21 41: -0.000131689 161: -5.01786e-06 162: 2.50893e-06 163: -4.38851e-06 164: 2.19425e-06 165: 1.52466e-20 166: 1.41096e-05 169: 5.01786e-06 170: 2.50893e-06 313: 4.38851e-06 314: 2.19425e-06 572: -8.99973e-21 573: -6.35275e-22
Row 167: 14: -0.0004538 15: -0.0004538 42: -0.0002269 167: 7.56334e-05 168: 0 171: 3.78167e-05 172: -5.40238e-06 175: 3.78167e-05 176: -5.40238e-06 574: -2.16095e-05
Row 168: 14: 7.56334e-05 15: -7.56334e-05 42: -5.0822e-21 167: 0 168: 8.10358e-06 171: -5.40238e-06 172: 2.70119e-06 175: 5.40238e-06 176: -2.70119e-06 574: -8.47033e-22
Row 169: 13: -0.00021075 14: -0.000849308 41: -0.000849308 42: -0.000213904 161: 3.51251e-05 162: 5.01786e-06 165: 3.51251e-05 166: 5.01786e-06 169: 0.000141551 170: 3.04932e-20 171: 3.56507e-05 172: -5.09295e-06 319: 3.56507e-05 320: -5.09295e-06 572: -2.00715e-05 575: -2.03718e-05
Row 170: 13: -1.06726e-19 14: 0.000141551 41: -0.000141551 42: -1.16891e-19 161: -5.01786e-06 162: -2.50893e-06 165: 5.01786e-06 166: 2.50893e-06 169: 3.04932e-20 170: 1.51662e-05 171: -5.09295e-06 172: 2.54648e-06 319: 5.09295e-06 320: -2.54648e-06 572: -7.83505e-21 575: -9.1056e-21
Row 171: 14: -0.000881608 15: -0.0002269 41: -0.000213904 42: -0.000881608 167: 3.78167e-05 168: -5.40238e-06 169: 3.56507e-05 170: -5.09295e-06 171: 0.000146935 172: 1.77877e-20 175: 3.78167e-05 176: 5.40238e-06 319: 3.56507e-05 320: 5.09295e-06 574: -2.16095e-05 575: -2.03718e-05
Row 172: 14: 0.000146935 15: -1.25361e-19 41: -3.38813e-21 42: -0.000146935 167: -5.40238e-06 168: 2.70119e-06 169: -5.09295e-06 170: 2.54648e-06 171: 1.77877e-20 172: 1.5743e-05 175: 5.40238e-06 176: 2.70119e-06 319: 5.09295e-06 320: 2.54648e-06 574: -9.84676e-21 575: -8.47033e-22
Row 173: 15: -0.000460274 16: -0.000460274 43: -0.000230137 173: 7.67123e-05 174: 0 177: 3.83561e-05 178: -5.47945e-06 181: 3.83561e-05 182: -5.47945e-06 576: -2.19178e-05
Row 174: 15: 7.67123e-05 16: -7.67123e-05 43: -6.77626e-21 173: 0 174: 8.21917e-06 177: -5.47945e-06 178: 2.73972e-06 181: 5.47945e-06 182: -2.73972e-06 576: -1.27055e-21
Row 175: 14: -0.0002269 15: -0.000919682 42: -0.000919682 43: -0.000232941 167: 3.78167e-05 168: 5.40238e-06 171: 3.78167e-05 172: 5.40238e-06 175: 0.00015328 176: 3.55754e-20 177: 3.88235e-05 178: -5.54621e-06 325: 3.88235e-05 326: -5.54621e-06 574: -2.16095e-05 577: -2.21848e-05
Row 176: 14: -1.15196e-19 15: 0.00015328 42: -0.00015328 43: -1.27055e-19 167: -5.40238e-06 168: -2.70119e-06 171: 5.40238e-06 172: 2.70119e-06 175: 3.55754e-20 176: 1.64229e-05 177: -5.54621e-06 178: 2.77311e-06 325: 5.54621e-06 326: -2.77311e-06 574: -9.21148e-21 577: -1.00585e-20
Row 177: 15: -0.000926155 16: -0.000230137 42: -0.000232941 43: -0.000926155 173: 3.83561e-05 174: -5.47945e-06 175: 3.88235e-05 176: -5.54621e-06 177: 0.000154359 178: 1.86347e-20 181: 3.83561e-05 182: 5.47945e-06 325: 3.88235e-05 326: 5.54621e-06 576: -2.19178e-05 577: -2.21848e-05
Row 178: 15: 0.000154359 16: -1.27055e-19 42: -8.47033e-21 43: -0.000154359 173: -5.47945e-06 174: 2.73972e-06 175: -5.54621e-06 176: 2.77311e-06 177: 1.86347e-20 178: 1.65385e-05 181: 5.47945e-06 182: 2.73972e-06 325: 5.54621e-06 326: 2.77311e-06 576: -9.635e-21 577: -1.27055e-21
Row 179: 16: -0.000437421 17: -0.000437421 44: -0.000218711 179: 7.29035e-05 180: 4.23516e-22 183: 3.64518e-05 184: -5.20739e-06 187: 3.64518e-05 188: -5.20739e-06 578: -2.08296e-05
Row 180: 16: 7.29035e-05 17: -7.29035e-05 44: -6.77626e-21 179: 4.23516e-22 180: 7.81109e-06 183: -5.20739e-06 184: 2.6037e-06 187: 5.20739e-06 188: -2.6037e-06 578: -1.05879e-21
Row 181: 15: -0.000230137 16: -0.000928166 43: -0.000928166 44: -0.000233946 173: 3.83561e-05 174: 5.47945e-06 177: 3.83561e-05 178: 5.47945e-06 181: 0.000154694 182: 3.55754e-20 183: 3.8991e-05 184: -5.57015e-06 331: 3.8991e-05 332: -5.57015e-06 576: -2.19178e-05 579: -2.22806e-05
Row 182: 15: -1.20279e-19 16: 0.000154694 43: -0.000154694 44: -1.25361e-19 173: -5.47945e-06 174: -2.73972e-06 177: 5.47945e-06 178: 2.73972e-06 181: 3.55754e-20 182: 1.65744e-05 183: -5.57015e-06 184: 2.78507e-06 331: 5.57015e-06 332: -2.78507e-06 576: -8.57621e-21 579: -1.02703e-20
Row 183: 16: -0.000905313 17: -0.000218711 43: -0.000233946 44: -0.000905313 179: 3.64518e-05 180: -5.20739e-06 181: 3.8991e-05 182: -5.57015e-06 183: 0.000150886 184: 1.77877e-20 187: 3.64518e-05 188: 5.20739e-06 331: 3.8991e-05 332: 5.57015e-06 578: -2.08296e-05 579: -2.22806e-05
Row 184: 16: 0.000150886 17: -1.18585e-19 43: -8.47033e-21 44: -0.000150886 179: -5.20739e-06 180: 2.6037e-06 181: -5.57015e-06 182: 2.78507e-06 183: 1.77877e-20 184: 1.61663e-05 187: 5.20739e-06 188: 2.6037e-06 331: 5.57015e-06 332: 2.78507e-06 578: -9.31736e-21 579: -1.48231e-21
Row 185: 2: -0.000260417 17: -0.00113435 18: -0.00113435 44: -0.000306756 99: 4.34028e-05 100: 6.2004e-06 101: 4.34028e-05 102: 6.2004e-06 185: 0.000189058 186: -1.86347e-20 187: 5.1126e-05 188: -7.30372e-06 191: 5.1126e-05 192: -7.30372e-06 580: -2.48016e-05 607: -2.92149e-05
Row 186: 2: 1.32137e-19 17: 0.000189058 18: -0.000189058 44: -6.77626e-21 99: -6.2004e-06 100: -3.1002e-06 101: 6.2004e-06 102: 3.1002e-06 185: -1.86347e-20 186: 2.02562e-05 187: -7.30372e-06 188: 3.65186e-06 191: 7.30372e-06 192: -3.65186e-06 580: 1.05879e-20 607: -1.69407e-21
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Row 188: 16: -1.13502e-19 17: 0.000175156 18: -1.64324e-19 44: -0.000175156 179: -5.20739e-06 180: -2.6037e-06 183: 5.20739e-06 184: 2.6037e-06 185: -7.30372e-06 186: 3.65186e-06 187: 3.81165e-20 188: 1.87667e-05 191: 7.30372e-06 192: 3.65186e-06 578: -8.57621e-21 607: -1.27055e-20
Row 189: 18: -0.000418771 19: -0.000418771 45: -0.000209386 189: 6.97952e-05 190: 0 193: 3.48976e-05 194: -4.98537e-06 197: 3.48976e-05 198: -4.98537e-06 581: -1.99415e-05
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Row 191: 17: -0.000306756 18: -0.00109618 44: -0.00109618 45: -0.000241334 185: 5.1126e-05 186: 7.30372e-06 187: 5.1126e-05 188: 7.30372e-06 191: 0.000182697 192: 4.23516e-20 193: 4.02223e-05 194: -5.74605e-06 337: 4.02223e-05 338: -5.74605e-06 607: -2.92149e-05 608: -2.29842e-05
Row 192: 17: -1.55854e-19 18: 0.000182697 44: -0.000182697 45: -1.30443e-19 185: -7.30372e-06 186: -3.65186e-06 187: 7.30372e-06 188: 3.65186e-06 191: 4.23516e-20 192: 1.95746e-05 193: -5.74605e-06 194: 2.87302e-06 337: 5.74605e-06 338: -2.87302e-06 607: -1.16467e-20 608: -1.0482e-20
Row 193: 18: -0.000901439 19: -0.000209386 44: -0.000241334 45: -0.000901439 189: 3.48976e-05 190: -4.98537e-06 191: 4.02223e-05 192: -5.74605e-06 193: 0.00015024 194: 1.60936e-20 197: 3.48976e-05 198: 4.98537e-06 337: 4.02223e-05 338: 5.74605e-06 581: -1.99415e-05 608: -2.29842e-05
Row 194: 18: 0.00015024 19: -1.13502e-19 44: -1.01644e-20 45: -0.00015024 189: -4.98537e-06 190: 2.49269e-06 191: -5.74605e-06 192: 2.87302e-06 193: 1.60936e-20 194: 1.60971e-05 197: 4.98537e-06 198: 2.49269e-06 337: 5.74605e-06 338: 2.87302e-06 581: -8.99973e-21 608: -1.27055e-21
Row 195: 19: -0.000493503 20: -0.000493503 46: -0.000246751 195: 8.22504e-05 196: 0 199: 4.11252e-05 200: -5.87503e-06 203: 4.11252e-05 204: -5.87503e-06 582: -2.35001e-05
Row 196: 19: 8.22504e-05 20: -8.22504e-05 46: -8.47033e-21 195: 0 196: 8.81255e-06 199: -5.87503e-06 200: 2.93752e-06 203: 5.87503e-06 204: -2.93752e-06 582: -1.27055e-21
Row 197: 18: -0.000209386 19: -0.000814637 45: -0.000814637 46: -0.000197933 189: 3.48976e-05 190: 4.98537e-06 193: 3.48976e-05 194: 4.98537e-06 197: 0.000135773 198: 3.13402e-20 199: 3.29888e-05 200: -4.71269e-06 341: 3.29888e-05 342: -4.71269e-06 581: -1.99415e-05 583: -1.88508e-05
Row 198: 18: -1.07573e-19 19: 0.000135773 45: -0.000135773 46: -1.10114e-19 189: -4.98537e-06 190: -2.49269e-06 193: 4.98537e-06 194: 2.49269e-06 197: 3.13402e-20 198: 1.45471e-05 199: -4.71269e-06 200: 2.35634e-06 341: 4.71269e-06 342: -2.35634e-06 581: -8.04681e-21 583: -8.36445e-21
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Row 233: 25: -0.000749873 26: -0.000188344 51: -0.000186592 52: -0.000749873 229: 3.13907e-05 230: -4.48439e-06 231: 3.10987e-05 232: -4.44267e-06 233: 0.000124979 234: 1.43996e-20 237: 3.13907e-05 238: 4.48439e-06 375: 3.10987e-05 376: 4.44267e-06 595: -1.79375e-05 596: -1.77707e-05
Row 234: 25: 0.000124979 26: -1.03338e-19 51: -6.77626e-21 52: -0.000124979 229: -4.48439e-06 230: 2.24219e-06 231: -4.44267e-06 232: 2.22133e-06 233: 1.43996e-20 234: 1.33906e-05 237: 4.48439e-06 238: 2.24219e-06 375: 4.44267e-06 376: 2.22133e-06 595: -8.15269e-21 596: -1.05879e-21
Row 235: 26: -0.000407524 27: -0.000407524 53: -0.000203762 235: 6.79206e-05 236: 4.23516e-22 239: 3.39603e-05 240: -4.85147e-06 243: 3.39603e-05 244: -4.85147e-06 597: -1.94059e-05
Row 236: 26: 6.79206e-05 27: -6.79206e-05 53: -1.01644e-20 235: 4.23516e-22 236: 7.27721e-06 239: -4.85147e-06 240: 2.42574e-06 243: 4.85147e-06 244: -2.42574e-06 597: -1.05879e-21
Row 237: 25: -0.000188344 26: -0.000736858 52: -0.000736858 53: -0.000180085 229: 3.13907e-05 230: 4.48439e-06 233: 3.13907e-05 234: 4.48439e-06 237: 0.00012281 238: 2.96462e-20 239: 3.00142e-05 240: -4.28774e-06 379: 3.00142e-05 380: -4.28774e-06 595: -1.79375e-05 598: -1.7151e-05
Row 238: 25: -9.65618e-20 26: 0.00012281 52: -0.00012281 53: -9.82558e-20 229: -4.48439e-06 230: -2.24219e-06 233: 4.48439e-06 234: 2.24219e-06 237: 2.96462e-20 238: 1.31582e-05 239: -4.28774e-06 240: 2.14387e-06 379: 4.28774e-06 380: -2.14387e-06 595: -7.19978e-21 598: -7.6233e-21
Row 239: 26: -0.000767694 27: -0.000203762 52: -0.000180085 53: -0.000767694 235: 3.39603e-05 236: -4.85147e-06 237: 3.00142e-05 238: -4.28774e-06 239: 0.000127949 240: 1.60936e-20 243: 3.39603e-05 244: 4.85147e-06 379: 3.00142e-05 380: 4.28774e-06 597: -1.94059e-05 598: -1.7151e-05
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Row 356: 46: -1.49078e-19 47: 0.000193732 67: -1.60936e-19 68: -0.000193732 345: -6.89326e-06 346: -3.44663e-06 349: 6.89326e-06 350: 3.44663e-06 353: -6.94475e-06 354: 3.47238e-06 355: 4.57398e-20 356: 2.0757e-05 459: 6.94475e-06 460: 3.47238e-06 631: -1.12232e-20 632: -1.21761e-20
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Row 358: 22: 1.10114e-19 48: 0.000147693 49: -0.000147693 69: -6.77626e-21 215: -5.19429e-06 216: -2.59714e-06 217: 5.19429e-06 218: 2.59714e-06 357: -1.52466e-20 358: 1.58242e-05 361: -5.35518e-06 362: 2.67759e-06 365: 5.35518e-06 366: -2.67759e-06 589: 8.68209e-21 634: -6.35275e-22
Row 359: 47: -0.000245157 48: -0.000968339 67: -0.000968339 69: -0.000239012 351: 4.08595e-05 352: 5.83707e-06 353: 4.08595e-05 354: 5.83707e-06 359: 0.00016139 360: 3.55754e-20 361: 3.98354e-05 362: -5.69077e-06 461: 3.98354e-05 462: -5.69077e-06 630: -2.33483e-05 635: -2.27631e-05
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Row 363: 23: -0.000188957 49: -0.000783917 50: -0.000783917 70: -0.000203001 221: 3.14929e-05 222: 4.49898e-06 223: 3.14929e-05 224: 4.49898e-06 363: 0.000130653 364: -1.60936e-20 367: 3.38335e-05 368: -4.83336e-06 371: 3.38335e-05 372: -4.83336e-06 591: -1.79959e-05 636: -1.93334e-05
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Row 369: 24: -0.000187812 50: -0.000693597 51: -0.000693597 71: -0.000158987 225: 3.13019e-05 226: 4.4717e-06 227: 3.13019e-05 228: 4.4717e-06 369: 0.000115599 370: -1.35525e-20 373: 2.64978e-05 374: -3.7854e-06 377: 2.64978e-05 378: -3.7854e-06 593: -1.78868e-05 638: -1.51416e-05
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Row 375: 25: -0.000186592 51: -0.000683818 52: -0.000683818 71: -0.000155317 231: 3.10987e-05 232: 4.44267e-06 233: 3.10987e-05 234: 4.44267e-06 375: 0.00011397 376: -1.52466e-20 377: 2.58862e-05 378: -3.69802e-06 381: 2.58862e-05 382: -3.69802e-06 596: -1.77707e-05 640: -1.47921e-05
Row 376: 25: 9.65618e-20 51: 0.00011397 52: -0.00011397 71: -5.0822e-21 231: -4.44267e-06 232: -2.22133e-06 233: 4.44267e-06 234: 2.22133e-06 375: -1.52466e-20 376: 1.2211e-05 377: -3.69802e-06 378: 1.84901e-06 381: 3.69802e-06 382: -1.84901e-06 596: 7.30566e-21 640: -6.35275e-22
Row 377: 50: -0.000158987 51: -0.000628608 52: -0.000155317 71: -0.000628608 369: 2.64978e-05 370: 3.7854e-06 373: 2.64978e-05 374: 3.7854e-06 375: 2.58862e-05 376: -3.69802e-06 377: 0.000104768 378: 2.32934e-20 381: 2.58862e-05 382: 3.69802e-06 638: -1.51416e-05 640: -1.47921e-05
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Row 379: 26: -0.000180085 52: -0.00074706 53: -0.00074706 73: -0.000193445 237: 3.00142e-05 238: 4.28774e-06 239: 3.00142e-05 240: 4.28774e-06 379: 0.00012451 380: -1.43996e-20 383: 3.22409e-05 384: -4.60584e-06 389: 3.22409e-05 390: -4.60584e-06 598: -1.7151e-05 642: -1.84233e-05
Row 380: 26: 9.06325e-20 52: 0.00012451 53: -0.00012451 73: -6.77626e-21 237: -4.28774e-06 238: -2.14387e-06 239: 4.28774e-06 240: 2.14387e-06 379: -1.43996e-20 380: 1.33404e-05 383: -4.60584e-06 384: 2.30292e-06 389: 4.60584e-06 390: -2.30292e-06 598: 6.98802e-21 642: -1.05879e-21
Row 381: 51: -0.000155317 52: -0.000620308 71: -0.000620308 73: -0.000154837 375: 2.58862e-05 376: 3.69802e-06 377: 2.58862e-05 378: 3.69802e-06 381: 0.000103385 382: 2.6258e-20 383: 2.58062e-05 384: -3.68659e-06 483: 2.58062e-05 484: -3.68659e-06 640: -1.47921e-05 643: -1.47464e-05
Row 382: 51: -8.04681e-20 52: 0.000103385 71: -0.000103385 73: -8.38563e-20 375: -3.69802e-06 376: -1.84901e-06 377: 3.69802e-06 378: 1.84901e-06 381: 2.6258e-20 382: 1.10769e-05 383: -3.68659e-06 384: 1.8433e-06 483: 3.68659e-06 484: -1.8433e-06 640: -5.82335e-21 643: -6.88214e-21
Row 383: 52: -0.000696564 53: -0.000193445 71: -0.000154837 73: -0.000696564 379: 3.22409e-05 380: -4.60584e-06 381: 2.58062e-05 382: -3.68659e-06 383: 0.000116094 384: 1.43996e-20 389: 3.22409e-05 390: 4.60584e-06 483: 2.58062e-05 484: 3.68659e-06 642: -1.84233e-05 643: -1.47464e-05
Row 384: 52: 0.000116094 53: -1.06726e-19 71: -5.0822e-21 73: -0.000116094 379: -4.60584e-06 380: 2.30292e-06 381: -3.68659e-06 382: 1.8433e-06 383: 1.43996e-20 384: 1.24386e-05 389: 4.60584e-06 390: 2.30292e-06 483: 3.68659e-06 484: 1.8433e-06 642: -8.36445e-21 643: -4.23516e-22
Row 385: 27: -0.000201651 53: -0.000823873 54: -0.000823873 72: -0.000210286 243: 3.36085e-05 244: 4.80121e-06 245: 3.36085e-05 246: 4.80121e-06 385: 0.000137312 386: -1.69407e-20 387: 3.50476e-05 388: -5.00681e-06 393: 3.50476e-05 394: -5.00681e-06 600: -1.92048e-05 641: -2.00272e-05
Row 386: 27: 1.01644e-19 53: 0.000137312 54: -0.000137312 72: -3.38813e-21 243: -4.80121e-06 244: -2.4006e-06 245: 4.80121e-06 246: 2.4006e-06 385: -1.69407e-20 386: 1.4712e-05 387: -5.00681e-06 388: 2.5034e-06 393: 5.00681e-06 394: -2.5034e-06 600: 8.04681e-21 641: -1.27055e-21
Row 387: 53: -0.000817516 54: -0.000210286 72: -0.000817516 73: -0.000198472 385: 3.50476e-05 386: -5.00681e-06 387: 0.000136253 388: 1.52466e-20 389: 3.30787e-05 390: -4.72553e-06 393: 3.50476e-05 394: 5.00681e-06 485: 3.30787e-05 486: -4.72553e-06 641: -2.00272e-05 644: -1.89021e-05
Row 388: 53: 0.000136253 54: -1.15196e-19 72: -0.000136253 73: -6.77626e-21 385: -5.00681e-06 386: 2.5034e-06 387: 1.52466e-20 388: 1.45985e-05 389: -4.72553e-06 390: 2.36276e-06 393: 5.00681e-06 394: 2.5034e-06 485: 4.72553e-06 486: -2.36276e-06 641: -8.99973e-21 644: -8.47033e-22
Row 389: 52: -0.000193445 53: -0.000783835 72: -0.000198472 73: -0.000783835 379: 3.22409e-05 380: 4.60584e-06 383: 3.22409e-05 384: 4.60584e-06 387: 3.30787e-05 388: -4.72553e-06 389: 0.000130639 390: 3.04932e-20 485: 3.30787e-05 486: 4.72553e-06 642: -1.84233e-05 644: -1.89021e-05
Row 390: 52: -9.82558e-20 53: 0.000130639 72: -1.0842e-19 73: -0.000130639 379: -4.60584e-06 380: -2.30292e-06 383: 4.60584e-06 384: 2.30292e-06 387: -4.72553e-06 388: 2.36276e-06 389: 3.04932e-20 390: 1.3997e-05 485: 4.72553e-06 486: 2.36276e-06 642: -8.04681e-21 644: -8.47033e-21
Row 391: 28: -0.00021378 54: -0.000863625 55: -0.000863625 74: -0.000218033 249: 3.56299e-05 250: 5.08999e-06 251: 3.56299e-05 252: 5.08999e-06 391: 0.000143937 392: -1.60936e-20 395: 3.63388e-05 396: -5.19126e-06 399: 3.63388e-05 400: -5.19126e-06 602: -2.036e-05 645: -2.0765e-05
Row 392: 28: 1.09267e-19 54: 0.000143937 55: -0.000143937 74: -6.77626e-21 249: -5.08999e-06 250: -2.54499e-06 251: 5.08999e-06 252: 2.54499e-06 391: -1.60936e-20 392: 1.54219e-05 395: -5.19126e-06 396: 2.59563e-06 399: 5.19126e-06 400: -2.59563e-06 602: 8.57621e-21 645: -1.05879e-21
Row 393: 53: -0.000210286 54: -0.000846662 72: -0.000846662 74: -0.000213045 385: 3.50476e-05 386: 5.00681e-06 387: 3.50476e-05 388: 5.00681e-06 393: 0.00014111 394: 3.21873e-20 395: 3.55075e-05 396: -5.0725e-06 487: 3.55075e-05 488: -5.0725e-06 641: -2.00272e-05 646: -2.029e-05
Row 394: 53: -1.05879e-19 54: 0.00014111 72: -0.00014111 74: -1.13502e-19 385: -5.00681e-06 386: -2.5034e-06 387: 5.00681e-06 388: 2.5034e-06 393: 3.21873e-20 394: 1.5119e-05 395: -5.0725e-06 396: 2.53625e-06 487: 5.0725e-06 488: -2.53625e-06 641: -8.04681e-21 646: -9.21148e-21
Row 395: 54: -0.000862156 55: -0.000218033 72: -0.000213045 74: -0.000862156 391: 3.63388e-05 392: -5.19126e-06 393: 3.55075e-05 394: -5.0725e-06 395: 0.000143693 396: 1.60936e-20 399: 3.63388e-05 400: 5.19126e-06 487: 3.55075e-05 488: 5.0725e-06 645: -2.0765e-05 646: -2.029e-05
Row 396: 54: 0.000143693 55: -1.18585e-19 72: -5.0822e-21 74: -0.000143693 391: -5.19126e-06 392: 2.59563e-06 393: -5.0725e-06 394: 2.53625e-06 395: 1.60936e-20 396: 1.53956e-05 399: 5.19126e-06 400: 2.59563e-06 487: 5.0725e-06 488: 2.53625e-06 645: -9.52912e-21 646: -8.47033e-22
Row 397: 29: -0.000267156 55: -0.00101623 56: -0.00101623 75: -0.000240962 255: 4.45259e-05 256: 6.36085e-06 257: 4.45259e-05 258: 6.36085e-06 397: 0.000169372 398: -2.20229e-20 401: 4.01603e-05 402: -5.73718e-06 405: 4.01603e-05 406: -5.73718e-06 604: -2.54434e-05 647: -2.29487e-05
Row 398: 29: 1.32137e-19 55: 0.000169372 56: -0.000169372 75: -1.69407e-21 255: -6.36085e-06 256: -3.18042e-06 257: 6.36085e-06 258: 3.18042e-06 397: -2.20229e-20 398: 1.8147e-05 401: -5.73718e-06 402: 2.86859e-06 405: 5.73718e-06 406: -2.86859e-06 604: 1.07997e-20 647: -1.27055e-21
Row 399: 54: -0.000218033 55: -0.000831708 74: -0.000831708 75: -0.000197821 391: 3.63388e-05 392: 5.19126e-06 395: 3.63388e-05 396: 5.19126e-06 399: 0.000138618 400: 3.13402e-20 401: 3.29701e-05 402: -4.71002e-06 495: 3.29701e-05 496: -4.71002e-06 645: -2.0765e-05 648: -1.88401e-05
Row 400: 54: -1.11808e-19 55: 0.000138618 74: -0.000138618 75: -1.0842e-19 391: -5.19126e-06 392: -2.59563e-06 395: 5.19126e-06 396: 2.59563e-06 399: 3.13402e-20 400: 1.48519e-05 401: -4.71002e-06 402: 2.35501e-06 495: 4.71002e-06 496: -2.35501e-06 645: -8.68209e-21 648: -8.78797e-21
Row 401: 55: -0.000877565 56: -0.000240962 74: -0.000197821 75: -0.000877565 397: 4.01603e-05 398: -5.73718e-06 399: 3.29701e-05 400: -4.71002e-06 401: 0.000146261 402: 1.86347e-20 405: 4.01603e-05 406: 5.73718e-06 495: 3.29701e-05 496: 4.71002e-06 647: -2.29487e-05 648: -1.88401e-05
Row 402: 55: 0.000146261 56: -1.32137e-19 74: -6.77626e-21 75: -0.000146261 397: -5.73718e-06 398: 2.86859e-06 399: -4.71002e-06 400: 2.35501e-06 401: 1.86347e-20 402: 1.56708e-05 405: 5.73718e-06 406: 2.86859e-06 495: 4.71002e-06 496: 2.35501e-06 647: -1.01644e-20 648: -1.27055e-21
Row 403: 32: -0.000300986 56: -0.00106937 58: -0.00106937 75: -0.000233701 269: 5.01643e-05 270: 7.16632e-06 271: 5.01643e-05 272: 7.16632e-06 403: 0.000178229 404: -2.32934e-20 405: 3.89502e-05 406: -5.56431e-06 415: 3.89502e-05 416: -5.56431e-06 653: -2.22572e-05 654: -2.86653e-05
Row 404: 32: 1.57548e-19 56: 0.000178229 58: -0.000178229 75: -6.77626e-21 269: -7.16632e-06 270: -3.58316e-06 271: 7.16632e-06 272: 3.58316e-06 403: -2.32934e-20 404: 1.90959e-05 405: -5.56431e-06 406: 2.78215e-06 415: 5.56431e-06 416: -2.78215e-06 653: -1.27055e-21 654: 1.18585e-20
Row 405: 55: -0.000240962 56: -0.000949325 58: -0.000233701 75: -0.000949325 397: 4.01603e-05 398: 5.73718e-06 401: 4.01603e-05 402: 5.73718e-06 403: 3.89502e-05 404: -5.56431e-06 405: 0.000158221 406: 3.81165e-20 415: 3.89502e-05 416: 5.56431e-06 647: -2.29487e-05 653: -2.22572e-05
Row 406: 55: -1.21973e-19 56: 0.000158221 58: -1.28749e-19 75: -0.000158221 397: -5.73718e-06 398: -2.86859e-06 401: 5.73718e-06 402: 2.86859e-06 403: -5.56431e-06 404: 2.78215e-06 405: 3.81165e-20 406: 1.69522e-05 415: 5.56431e-06 416: 2.78215e-06 647: -9.74088e-21 653: -9.95264e-21
Row 407: 33: -0.000268182 57: -0.00115639 58: -0.00115639 83: -0.000310013 275: 4.46969e-05 276: 6.38528e-06 277: 4.46969e-05 278: 6.38528e-06 407: 0.000192732 408: 4.31987e-20 411: 5.16689e-05 412: -7.38127e-06 417: 5.16689e-05 418: -7.38127e-06 612: -2.55411e-05 669: -2.95251e-05
Row 408: 33: -1.38913e-19 57: 0.000192732 58: -0.000192732 83: -1.69407e-19 275: -6.38528e-06 276: -3.19264e-06 277: 6.38528e-06 278: 3.19264e-06 407: 4.31987e-20 408: 2.06498e-05 411: -7.38127e-06 412: 3.69064e-06 417: 7.38127e-06 418: -3.69064e-06 612: -1.03762e-20 669: -1.33408e-20
Row 409: 34: -0.000258105 57: -0.00107302 76: -0.00107302 86: -0.000278403 281: 4.30176e-05 282: 6.14537e-06 283: 4.30176e-05 284: 6.14537e-06 409: 0.000178836 410: -2.20229e-20 413: 4.64005e-05 414: -6.62865e-06 505: 4.64005e-05 506: -6.62865e-06 650: -2.45815e-05 679: -2.65146e-05
Row 410: 34: 1.32137e-19 57: 0.000178836 76: -0.000178836 86: -6.77626e-21 281: -6.14537e-06 282: -3.07268e-06 283: 6.14537e-06 284: 3.07268e-06 409: -2.20229e-20 410: 1.9161e-05 413: -6.62865e-06 414: 3.31432e-06 505: 6.62865e-06 506: -3.31432e-06 650: 1.01644e-20 679: -8.47033e-22
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Row 431: 39: -0.00014484 61: -0.00063336 63: -0.00063336 77: -0.00017184 309: 2.414e-05 310: 3.44858e-06 311: 2.414e-05 312: 3.44858e-06 431: 0.00010556 432: -1.10114e-20 433: 2.864e-05 434: -4.09143e-06 443: 2.864e-05 444: -4.09143e-06 621: -1.37943e-05 656: -1.63657e-05
Row 432: 39: 7.708e-20 61: 0.00010556 63: -0.00010556 77: -5.0822e-21 309: -3.44858e-06 310: -1.72429e-06 311: 3.44858e-06 312: 1.72429e-06 431: -1.10114e-20 432: 1.131e-05 433: -4.09143e-06 434: 2.04571e-06 443: 4.09143e-06 444: -2.04571e-06 621: 5.61159e-21 656: -4.23516e-22
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Row 434: 60: -8.89385e-20 61: 0.00011581 63: -9.31736e-20 77: -0.00011581 427: -4.18075e-06 428: -2.09037e-06 429: 4.18075e-06 430: 2.09037e-06 431: -4.09143e-06 432: 2.04571e-06 433: 2.66815e-20 434: 1.24083e-05 443: 4.09143e-06 444: 2.04571e-06 655: -6.77626e-21 656: -7.19978e-21
Row 435: 40: -0.000157942 62: -0.00068832 63: -0.00068832 77: -0.000186218 315: 2.63236e-05 316: 3.76052e-06 317: 2.63236e-05 318: 3.76052e-06 435: 0.00011472 436: 2.71051e-20 439: 3.10364e-05 440: -4.43377e-06 443: 3.10364e-05 444: -4.43377e-06 622: -1.50421e-05 675: -1.77351e-05
Row 436: 40: -7.87741e-20 62: 0.00011472 63: -0.00011472 77: -1.03338e-19 315: -3.76052e-06 316: -1.88026e-06 317: 3.76052e-06 318: 1.88026e-06 435: 2.71051e-20 436: 1.22914e-05 439: -4.43377e-06 440: 2.21688e-06 443: 4.43377e-06 444: -2.21688e-06 622: -6.24687e-21 675: -8.04681e-21
Row 437: 41: -0.000210138 62: -0.000871061 64: -0.000871061 78: -0.000225393 321: 3.5023e-05 322: 5.00328e-06 323: 3.5023e-05 324: 5.00328e-06 437: 0.000145177 438: -1.65171e-20 441: 3.75654e-05 442: -5.36649e-06 447: 3.75654e-05 448: -5.36649e-06 624: -2.00131e-05 659: -2.1466e-05
Row 438: 41: 1.05032e-19 62: 0.000145177 64: -0.000145177 78: -5.0822e-21 321: -5.00328e-06 322: -2.50164e-06 323: 5.00328e-06 324: 2.50164e-06 437: -1.65171e-20 438: 1.55547e-05 441: -5.36649e-06 442: 2.68325e-06 447: 5.36649e-06 448: -2.68325e-06 624: 7.94093e-21 659: -8.47033e-22
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Row 440: 62: 0.00014401 63: -6.77626e-21 77: -0.00014401 78: -1.33831e-19 435: -4.43377e-06 436: 2.21688e-06 439: 1.77877e-20 440: 1.54296e-05 441: -5.85266e-06 442: 2.92633e-06 443: 4.43377e-06 444: 2.21688e-06 507: 5.85266e-06 508: -2.92633e-06 675: -8.47033e-22 677: -1.0482e-20
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Row 442: 62: 0.000157068 64: -1.25361e-19 77: -1.01644e-20 78: -0.000157068 437: -5.36649e-06 438: 2.68325e-06 439: -5.85266e-06 440: 2.92633e-06 441: 1.82112e-20 442: 1.68287e-05 447: 5.36649e-06 448: 2.68325e-06 507: 5.85266e-06 508: 2.92633e-06 659: -9.95264e-21 677: -1.27055e-21
Row 443: 61: -0.00017184 62: -0.000186218 63: -0.000716117 77: -0.000716117 431: 2.864e-05 432: 4.09143e-06 433: 2.864e-05 434: 4.09143e-06 435: 3.10364e-05 436: 4.43377e-06 439: 3.10364e-05 440: 4.43377e-06 443: 0.000119353 444: -8.47033e-22 656: -1.63657e-05 675: -1.77351e-05
Row 444: 61: -8.72444e-20 62: 9.48677e-20 63: 0.000119353 77: -0.000119353 431: -4.09143e-06 432: -2.04571e-06 433: 4.09143e-06 434: 2.04571e-06 435: -4.43377e-06 436: -2.21688e-06 439: 4.43377e-06 440: 2.21688e-06 443: -8.47033e-22 444: 1.27878e-05 656: -6.98802e-21 675: 7.19978e-21
Row 445: 42: -0.000243809 64: -0.000997996 65: -0.000997996 82: -0.000255188 327: 4.06349e-05 328: 5.80499e-06 329: 4.06349e-05 330: 5.80499e-06 445: 0.000166333 446: -1.65171e-20 449: 4.25314e-05 450: -6.07591e-06 455: 4.25314e-05 456: -6.07591e-06 626: -2.32199e-05 665: -2.43037e-05
Row 446: 42: 1.23667e-19 64: 0.000166333 65: -0.000166333 82: -8.47033e-21 327: -5.80499e-06 328: -2.90249e-06 329: 5.80499e-06 330: 2.90249e-06 445: -1.65171e-20 446: 1.78214e-05 449: -6.07591e-06 450: 3.03796e-06 455: 6.07591e-06 456: -3.03796e-06 626: 9.74088e-21 665: -1.27055e-21
Row 447: 62: -0.000225393 64: -0.000966334 78: -0.000966334 82: -0.000257774 437: 3.75654e-05 438: 5.36649e-06 441: 3.75654e-05 442: 5.36649e-06 447: 0.000161056 448: 3.64224e-20 449: 4.29624e-05 450: -6.13749e-06 511: 4.29624e-05 512: -6.13749e-06 659: -2.1466e-05 666: -2.45499e-05
Row 448: 62: -1.15196e-19 64: 0.000161056 78: -0.000161056 82: -1.38913e-19 437: -5.36649e-06 438: -2.68325e-06 441: 5.36649e-06 442: 2.68325e-06 447: 3.64224e-20 448: 1.7256e-05 449: -6.13749e-06 450: 3.06874e-06 511: 6.13749e-06 512: -3.06874e-06 659: -8.89385e-21 666: -1.10114e-20
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Row 451: 43: -0.000243931 65: -0.00105442 66: -0.00105442 68: -0.000283278 333: 4.06551e-05 334: 5.80788e-06 335: 4.06551e-05 336: 5.80788e-06 451: 0.000175736 452: -1.77877e-20 453: 4.7213e-05 454: -6.74471e-06 457: 4.7213e-05 458: -6.74471e-06 628: -2.32315e-05 658: -2.69788e-05
Row 452: 43: 1.27055e-19 65: 0.000175736 66: -0.000175736 68: -6.77626e-21 333: -5.80788e-06 334: -2.90394e-06 335: 5.80788e-06 336: 2.90394e-06 451: -1.77877e-20 452: 1.88289e-05 453: -6.74471e-06 454: 3.37236e-06 457: 6.74471e-06 458: -3.37236e-06 628: 9.42324e-21 658: -8.47033e-22
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Row 454: 65: 0.000199874 66: -1.52466e-19 68: -0.000199874 82: -1.35525e-20 451: -6.74471e-06 452: 3.37236e-06 453: 2.11758e-20 454: 2.14151e-05 455: -7.532e-06 456: 3.766e-06 457: 6.74471e-06 458: 3.37236e-06 469: 7.532e-06 470: -3.766e-06 658: -1.15408e-20 667: -1.69407e-21
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Row 456: 64: -1.28749e-19 65: 0.000190511 68: -1.67713e-19 82: -0.000190511 445: -6.07591e-06 446: -3.03796e-06 449: 6.07591e-06 450: 3.03796e-06 453: -7.532e-06 454: 3.766e-06 455: 4.48927e-20 456: 2.04119e-05 469: 7.532e-06 470: 3.766e-06 665: -1.00585e-20 667: -1.35525e-20
Row 457: 46: -0.000286484 65: -0.000283278 66: -0.00113952 68: -0.00113952 347: 4.77473e-05 348: 6.82105e-06 349: 4.77473e-05 350: 6.82105e-06 451: 4.7213e-05 452: 6.74471e-06 453: 4.7213e-05 454: 6.74471e-06 457: 0.000189921 458: 0 652: -2.72842e-05 658: -2.69788e-05
Row 458: 46: 1.4569e-19 65: -1.42302e-19 66: 0.000189921 68: -0.000189921 347: -6.82105e-06 348: -3.41052e-06 349: 6.82105e-06 350: 3.41052e-06 451: -6.74471e-06 452: -3.37236e-06 453: 6.74471e-06 454: 3.37236e-06 457: 0 458: 2.03486e-05 652: 1.07997e-20 658: -1.10114e-20
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Row 460: 47: -1.5416e-19 67: 0.000198543 68: -0.000198543 81: -1.67713e-19 353: -6.94475e-06 354: -3.47238e-06 355: 6.94475e-06 356: 3.47238e-06 459: 4.23516e-20 460: 2.12725e-05 465: -7.23688e-06 466: 3.61844e-06 467: 7.23688e-06 468: -3.61844e-06 632: -1.14349e-20 663: -1.33408e-20
Row 461: 48: -0.000239012 67: -0.000907453 69: -0.000907453 80: -0.000214714 359: 3.98354e-05 360: 5.69077e-06 361: 3.98354e-05 362: 5.69077e-06 461: 0.000151242 462: -1.69407e-20 463: 3.57857e-05 464: -5.11224e-06 475: 3.57857e-05 476: -5.11224e-06 635: -2.27631e-05 661: -2.04489e-05
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Row 463: 67: -0.000885049 69: -0.000214714 80: -0.000885049 81: -0.00022781 461: 3.57857e-05 462: -5.11224e-06 463: 0.000147508 464: 1.69407e-20 465: 3.79684e-05 466: -5.42406e-06 475: 3.57857e-05 476: 5.11224e-06 523: 3.79684e-05 524: -5.42406e-06 661: -2.04489e-05 664: -2.16962e-05
Row 464: 67: 0.000147508 69: -1.16891e-19 80: -0.000147508 81: -8.47033e-21 461: -5.11224e-06 462: 2.55612e-06 463: 1.69407e-20 464: 1.58044e-05 465: -5.42406e-06 466: 2.71203e-06 475: 5.11224e-06 476: 2.55612e-06 523: 5.42406e-06 524: -2.71203e-06 661: -9.1056e-21 664: -8.47033e-22
Row 465: 67: -0.00106352 68: -0.000303949 80: -0.00022781 81: -0.00106352 459: 5.06582e-05 460: -7.23688e-06 463: 3.79684e-05 464: -5.42406e-06 465: 0.000177253 466: 1.69407e-20 467: 5.06582e-05 468: 7.23688e-06 523: 3.79684e-05 524: 5.42406e-06 663: -2.89475e-05 664: -2.16962e-05
Row 466: 67: 0.000177253 68: -6.77626e-21 80: -1.23667e-19 81: -0.000177253 459: -7.23688e-06 460: 3.61844e-06 463: -5.42406e-06 464: 2.71203e-06 465: 1.69407e-20 466: 1.89914e-05 467: 7.23688e-06 468: 3.61844e-06 523: 5.42406e-06 524: 2.71203e-06 663: -1.27055e-21 664: -9.74088e-21
Row 467: 67: -0.000303949 68: -0.00123031 81: -0.00123031 82: -0.000311204 459: 5.06582e-05 460: 7.23688e-06 465: 5.06582e-05 466: 7.23688e-06 467: 0.000205051 468: -2.20229e-20 469: 5.18673e-05 470: -7.40961e-06 527: 5.18673e-05 528: -7.40961e-06 663: -2.89475e-05 674: -2.96384e-05
Row 468: 67: 1.57548e-19 68: 0.000205051 81: -0.000205051 82: -6.77626e-21 459: -7.23688e-06 460: -3.61844e-06 465: 7.23688e-06 466: 3.61844e-06 467: -2.20229e-20 468: 2.19697e-05 469: -7.40961e-06 470: 3.70481e-06 527: 7.40961e-06 528: -3.70481e-06 663: 1.20702e-20 674: -1.27055e-21
Row 469: 65: -0.000316344 68: -0.0012551 81: -0.000311204 82: -0.0012551 453: 5.2724e-05 454: 7.532e-06 455: 5.2724e-05 456: 7.532e-06 467: 5.18673e-05 468: -7.40961e-06 469: 0.000209183 470: 4.74338e-20 527: 5.18673e-05 528: 7.40961e-06 667: -3.0128e-05 674: -2.96384e-05
Row 470: 65: -1.59242e-19 68: 0.000209183 81: -1.69407e-19 82: -0.000209183 453: -7.532e-06 454: -3.766e-06 455: 7.532e-06 456: 3.766e-06 467: -7.40961e-06 468: 3.70481e-06 469: 4.74338e-20 470: 2.24124e-05 527: 7.40961e-06 528: 3.70481e-06 667: -1.2282e-20 674: -1.3129e-20
Row 471: 49: -0.00020377 69: -0.000887054 70: -0.000887054 79: -0.000239756 365: 3.39617e-05 366: 4.85168e-06 367: 3.39617e-05 368: 4.85168e-06 471: 0.000147842 472: -1.56701e-20 473: 3.99594e-05 474: -5.70848e-06 481: 3.99594e-05 482: -5.70848e-06 637: -1.94067e-05 660: -2.28339e-05
Row 472: 49: 1.04185e-19 69: 0.000147842 70: -0.000147842 79: -8.47033e-21 365: -4.85168e-06 366: -2.42584e-06 367: 4.85168e-06 368: 2.42584e-06 471: -1.56701e-20 472: 1.58402e-05 473: -5.70848e-06 474: 2.85424e-06 481: 5.70848e-06 482: -2.85424e-06 637: 8.04681e-21 660: -8.47033e-22
Row 473: 69: -0.000931434 70: -0.000239756 79: -0.000931434 80: -0.000225961 471: 3.99594e-05 472: -5.70848e-06 473: 0.000155239 474: 1.90582e-20 475: 3.76601e-05 476: -5.38002e-06 481: 3.99594e-05 482: 5.70848e-06 517: 3.76601e-05 518: -5.38002e-06 660: -2.28339e-05 662: -2.15201e-05
Row 474: 69: 0.000155239 70: -1.30443e-19 79: -0.000155239 80: -5.0822e-21 471: -5.70848e-06 472: 2.85424e-06 473: 1.90582e-20 474: 1.66328e-05 475: -5.38002e-06 476: 2.69001e-06 481: 5.70848e-06 482: 2.85424e-06 517: 5.38002e-06 518: -2.69001e-06 660: -1.02703e-20 662: -1.05879e-21
Row 475: 67: -0.000214714 69: -0.000881349 79: -0.000225961 80: -0.000881349 461: 3.57857e-05 462: 5.11224e-06 463: 3.57857e-05 464: 5.11224e-06 473: 3.76601e-05 474: -5.38002e-06 475: 0.000146892 476: 3.30343e-20 517: 3.76601e-05 518: 5.38002e-06 661: -2.04489e-05 662: -2.15201e-05
Row 476: 67: -1.07573e-19 69: 0.000146892 79: -1.21973e-19 80: -0.000146892 461: -5.11224e-06 462: -2.55612e-06 463: 5.11224e-06 464: 2.55612e-06 473: -5.38002e-06 474: 2.69001e-06 475: 3.30343e-20 476: 1.57384e-05 517: 5.38002e-06 518: 2.69001e-06 661: -8.25857e-21 662: -9.74088e-21
Row 477: 50: -0.000158791 70: -0.000639869 71: -0.000639869 73: -0.000161144 371: 2.64651e-05 372: 3.78073e-06 373: 2.64651e-05 374: 3.78073e-06 477: 0.000106645 478: -1.18585e-20 479: 2.68574e-05 480: -3.83676e-06 483: 2.68574e-05 484: -3.83676e-06 639: -1.51229e-05 670: -1.53471e-05
Row 478: 50: 8.21622e-20 70: 0.000106645 71: -0.000106645 73: -6.77626e-21 371: -3.78073e-06 372: -1.89036e-06 373: 3.78073e-06 374: 1.89036e-06 477: -1.18585e-20 478: 1.14262e-05 479: -3.83676e-06 480: 1.91838e-06 483: 3.83676e-06 484: -1.91838e-06 639: 6.14099e-21 670: -4.23516e-22
Row 479: 70: -0.00078584 71: -0.000161144 73: -0.00078584 79: -0.000231776 477: 2.68574e-05 478: -3.83676e-06 479: 0.000130973 480: 1.18585e-20 481: 3.86293e-05 482: -5.51847e-06 483: 2.68574e-05 484: 3.83676e-06 493: 3.86293e-05 494: -5.51847e-06 670: -1.53471e-05 673: -2.20739e-05
Row 480: 70: 0.000130973 71: -8.72444e-20 73: -0.000130973 79: -3.38813e-21 477: -3.83676e-06 478: 1.91838e-06 479: 1.18585e-20 480: 1.40329e-05 481: -5.51847e-06 482: 2.75924e-06 483: 3.83676e-06 484: 1.91838e-06 493: 5.51847e-06 494: -2.75924e-06 670: -6.67038e-21 673: -8.47033e-22
Row 481: 69: -0.000239756 70: -0.000943064 73: -0.000231776 79: -0.000943064 471: 3.99594e-05 472: 5.70848e-06 473: 3.99594e-05 474: 5.70848e-06 479: 3.86293e-05 480: -5.51847e-06 481: 0.000157177 482: 3.81165e-20 493: 3.86293e-05 494: 5.51847e-06 660: -2.28339e-05 673: -2.20739e-05
Row 482: 69: -1.21973e-19 70: 0.000157177 73: -1.23667e-19 79: -0.000157177 471: -5.70848e-06 472: -2.85424e-06 473: 5.70848e-06 474: 2.85424e-06 479: -5.51847e-06 480: 2.75924e-06 481: 3.81165e-20 482: 1.68404e-05 493: 5.51847e-06 494: 2.75924e-06 660: -9.31736e-21 673: -9.95264e-21
Row 483: 52: -0.000154837 70: -0.000161144 71: -0.000631962 73: -0.000631962 381: 2.58062e-05 382: 3.68659e-06 383: 2.58062e-05 384: 3.68659e-06 477: 2.68574e-05 478: 3.83676e-06 479: 2.68574e-05 480: 3.83676e-06 483: 0.000105327 484: 0 643: -1.47464e-05 670: -1.53471e-05
Row 484: 52: 7.96211e-20 70: -8.13152e-20 71: 0.000105327 73: -0.000105327 381: -3.68659e-06 382: -1.8433e-06 383: 3.68659e-06 384: 1.8433e-06 477: -3.83676e-06 478: -1.91838e-06 479: 3.83676e-06 480: 1.91838e-06 483: 0 484: 1.1285e-05 643: 6.35275e-21 670: -6.24687e-21
Row 485: 53: -0.000198472 72: -0.000863324 73: -0.000863324 79: -0.00023319 387: 3.30787e-05 388: 4.72553e-06 389: 3.30787e-05 390: 4.72553e-06 485: 0.000143887 486: 3.13402e-20 489: 3.88649e-05 490: -5.55213e-06 493: 3.88649e-05 494: -5.55213e-06 644: -1.89021e-05 681: -2.22085e-05
Row 486: 53: -9.99499e-20 72: 0.000143887 73: -0.000143887 79: -1.27055e-19 387: -4.72553e-06 388: -2.36276e-06 389: 4.72553e-06 390: 2.36276e-06 485: 3.13402e-20 486: 1.54165e-05 489: -5.55213e-06 490: 2.77607e-06 493: 5.55213e-06 494: -2.77607e-06 644: -7.83505e-21 681: -9.95264e-21
Row 487: 54: -0.000213045 72: -0.000825477 74: -0.000825477 84: -0.000199694 393: 3.55075e-05 394: 5.0725e-06 395: 3.55075e-05 396: 5.0725e-06 487: 0.00013758 488: -1.65171e-20 491: 3.32823e-05 492: -4.75461e-06 499: 3.32823e-05 500: -4.75461e-06 646: -2.029e-05 672: -1.90184e-05
Row 488: 54: 1.09267e-19 72: 0.00013758 74: -0.00013758 84: -5.0822e-21 393: -5.0725e-06 394: -2.53625e-06 395: 5.0725e-06 396: 2.53625e-06 487: -1.65171e-20 488: 1.47407e-05 491: -4.75461e-06 492: 2.3773e-06 499: 4.75461e-06 500: -2.3773e-06 646: 8.47033e-21 672: -8.47033e-22
Row 489: 72: -0.000920798 73: -0.00023319 79: -0.000920798 84: -0.00022721 485: 3.88649e-05 486: -5.55213e-06 489: 0.000153466 490: 1.77877e-20 491: 3.78683e-05 492: -5.40975e-06 493: 3.88649e-05 494: 5.55213e-06 519: 3.78683e-05 520: -5.40975e-06 681: -2.22085e-05 682: -2.1639e-05
Row 490: 72: 0.000153466 73: -1.01644e-20 79: -0.000153466 84: -1.23667e-19 485: -5.55213e-06 486: 2.77607e-06 489: 1.77877e-20 490: 1.64428e-05 491: -5.40975e-06 492: 2.70488e-06 493: 5.55213e-06 494: 2.77607e-06 519: 5.40975e-06 520: -2.70488e-06 681: -1.48231e-21 682: -9.95264e-21
Row 491: 72: -0.000853806 74: -0.000199694 79: -0.00022721 84: -0.000853806 487: 3.32823e-05 488: -4.75461e-06 489: 3.78683e-05 490: -5.40975e-06 491: 0.000142301 492: 1.60936e-20 499: 3.32823e-05 500: 4.75461e-06 519: 3.78683e-05 520: 5.40975e-06 672: -1.90184e-05 682: -2.1639e-05
Row 492: 72: 0.000142301 74: -1.0842e-19 79: -5.0822e-21 84: -0.000142301 487: -4.75461e-06 488: 2.3773e-06 489: -5.40975e-06 490: 2.70488e-06 491: 1.60936e-20 492: 1.52465e-05 499: 4.75461e-06 500: 2.3773e-06 519: 5.40975e-06 520: 2.70488e-06 672: -8.68209e-21 682: -1.27055e-21
Row 493: 70: -0.000231776 72: -0.00023319 73: -0.000929931 79: -0.000929931 479: 3.86293e-05 480: 5.51847e-06 481: 3.86293e-05 482: 5.51847e-06 485: 3.88649e-05 486: 5.55213e-06 489: 3.88649e-05 490: 5.55213e-06 493: 0.000154988 494: 0 673: -2.20739e-05 681: -2.22085e-05
Row 494: 70: -1.20279e-19 72: 1.16891e-19 73: 0.000154988 79: -0.000154988 479: -5.51847e-06 480: -2.75924e-06 481: 5.51847e-06 482: 2.75924e-06 485: -5.55213e-06 486: -2.77607e-06 489: 5.55213e-06 490: 2.77607e-06 493: 0 494: 1.66059e-05 673: -9.1056e-21 681: 9.21148e-21
Row 495: 55: -0.000197821 74: -0.000871268 75: -0.000871268 83: -0.000237813 399: 3.29701e-05 400: 4.71002e-06 401: 3.29701e-05 402: 4.71002e-06 495: 0.000145211 496: -1.43996e-20 497: 3.96355e-05 498: -5.66222e-06 501: 3.96355e-05 502: -5.66222e-06 648: -1.88401e-05 671: -2.26489e-05
Row 496: 55: 1.02491e-19 74: 0.000145211 75: -0.000145211 83: -5.0822e-21 399: -4.71002e-06 400: -2.35501e-06 401: 4.71002e-06 402: 2.35501e-06 495: -1.43996e-20 496: 1.55584e-05 497: -5.66222e-06 498: 2.83111e-06 501: 5.66222e-06 502: -2.83111e-06 648: 7.83505e-21 671: -1.05879e-21
Row 497: 74: -0.000960129 75: -0.000237813 83: -0.000960129 84: -0.000242251 495: 3.96355e-05 496: -5.66222e-06 497: 0.000160021 498: 1.86347e-20 499: 4.03752e-05 500: -5.76788e-06 501: 3.96355e-05 502: 5.66222e-06 535: 4.03752e-05 536: -5.76788e-06 671: -2.26489e-05 680: -2.30715e-05
Row 498: 74: 0.000160021 75: -1.27055e-19 83: -0.000160021 84: -5.0822e-21 495: -5.66222e-06 496: 2.83111e-06 497: 1.86347e-20 498: 1.71452e-05 499: -5.76788e-06 500: 2.88394e-06 501: 5.66222e-06 502: 2.83111e-06 535: 5.76788e-06 536: -2.88394e-06 671: -1.02703e-20 680: -1.05879e-21
Row 499: 72: -0.000199694 74: -0.000883889 83: -0.000242251 84: -0.000883889 487: 3.32823e-05 488: 4.75461e-06 491: 3.32823e-05 492: 4.75461e-06 497: 4.03752e-05 498: -5.76788e-06 499: 0.000147315 500: 3.47284e-20 535: 4.03752e-05 536: 5.76788e-06 672: -1.90184e-05 680: -2.30715e-05
Row 500: 72: -1.01644e-19 74: 0.000147315 83: -1.32137e-19 84: -0.000147315 487: -4.75461e-06 488: -2.3773e-06 491: 4.75461e-06 492: 2.3773e-06 497: -5.76788e-06 498: 2.88394e-06 499: 3.47284e-20 500: 1.57837e-05 535: 5.76788e-06 536: 2.88394e-06 672: -7.83505e-21 680: -1.0482e-20
Row 501: 58: -0.00025199 74: -0.000237813 75: -0.000979606 83: -0.000979606 415: 4.19983e-05 416: 5.99976e-06 417: 4.19983e-05 418: 5.99976e-06 495: 3.96355e-05 496: 5.66222e-06 497: 3.96355e-05 498: 5.66222e-06 501: 0.000163268 502: -3.38813e-21 668: -2.3999e-05 671: -2.26489e-05
Row 502: 58: 1.27055e-19 74: -1.23667e-19 75: 0.000163268 83: -0.000163268 415: -5.99976e-06 416: -2.99988e-06 417: 5.99976e-06 418: 2.99988e-06 495: -5.66222e-06 496: -2.83111e-06 497: 5.66222e-06 498: 2.83111e-06 501: -3.38813e-21 502: 1.7493e-05 668: 9.95264e-21 671: -8.89385e-21
Row 503: 59: -0.000236187 76: -0.00101798 85: -0.00101798 86: -0.000272806 421: 3.93644e-05 422: 5.62349e-06 425: 3.93644e-05 426: 5.62349e-06 503: 0.000169664 504: -1.65171e-20 505: 4.54676e-05 506: -6.49537e-06 543: 4.54676e-05 544: -6.49537e-06 683: -2.2494e-05 691: -2.59815e-05
Row 504: 59: 1.18585e-19 76: 0.000169664 85: -0.000169664 86: -5.0822e-21 421: -5.62349e-06 422: -2.81174e-06 425: 5.62349e-06 426: 2.81174e-06 503: -1.65171e-20 504: 1.81783e-05 505: -6.49537e-06 506: 3.24769e-06 543: 6.49537e-06 544: -3.24769e-06 683: 9.1056e-21 691: -8.47033e-22
Row 505: 57: -0.000278403 76: -0.00110242 85: -0.000272806 86: -0.00110242 409: 4.64005e-05 410: 6.62865e-06 413: 4.64005e-05 414: 6.62865e-06 503: 4.54676e-05 504: -6.49537e-06 505: 0.000183736 506: 4.31987e-20 543: 4.54676e-05 544: 6.49537e-06 679: -2.65146e-05 691: -2.59815e-05
Row 506: 57: -1.38913e-19 76: 0.000183736 85: -1.50772e-19 86: -0.000183736 409: -6.62865e-06 410: -3.31432e-06 413: 6.62865e-06 414: 3.31432e-06 503: -6.49537e-06 504: 3.24769e-06 505: 4.31987e-20 506: 1.9686e-05 543: 6.49537e-06 544: 3.24769e-06 679: -1.07997e-20 691: -1.16467e-20
Row 507: 62: -0.000245812 77: -0.00102842 78: -0.00102842 85: -0.0002684 439: 4.09686e-05 440: 5.85266e-06 441: 4.09686e-05 442: 5.85266e-06 507: 0.000171404 508: -1.86347e-20 509: 4.47334e-05 510: -6.39048e-06 513: 4.47334e-05 514: -6.39048e-06 677: -2.34106e-05 686: -2.55619e-05
Row 508: 62: 1.27055e-19 77: 0.000171404 78: -0.000171404 85: -8.47033e-21 439: -5.85266e-06 440: -2.92633e-06 441: 5.85266e-06 442: 2.92633e-06 507: -1.86347e-20 508: 1.83647e-05 509: -6.39048e-06 510: 3.19524e-06 513: 6.39048e-06 514: -3.19524e-06 677: 9.1056e-21 686: -8.47033e-22
Row 509: 59: -0.000246018 77: -0.00102884 78: -0.0002684 85: -0.00102884 423: 4.1003e-05 424: 5.85758e-06 425: 4.1003e-05 426: 5.85758e-06 507: 4.47334e-05 508: -6.39048e-06 509: 0.000171473 510: 3.72694e-20 513: 4.47334e-05 514: 6.39048e-06 676: -2.34303e-05 686: -2.55619e-05
Row 510: 59: -1.25361e-19 77: 0.000171473 78: -1.43996e-19 85: -0.000171473 423: -5.85758e-06 424: -2.92879e-06 425: 5.85758e-06 426: 2.92879e-06 507: -6.39048e-06 508: 3.19524e-06 509: 3.72694e-20 510: 1.83721e-05 513: 6.39048e-06 514: 3.19524e-06 676: -9.74088e-21 686: -1.15408e-20
Row 511: 64: -0.000257774 78: -0.00106436 82: -0.00106436 88: -0.000274408 447: 4.29624e-05 448: 6.13749e-06 449: 4.29624e-05 450: 6.13749e-06 511: 0.000177394 512: -1.99053e-20 515: 4.57346e-05 516: -6.53351e-06 533: 4.57346e-05 534: -6.53351e-06 666: -2.45499e-05 687: -2.61341e-05
Row 512: 64: 1.30443e-19 78: 0.000177394 82: -0.000177394 88: -1.01644e-20 447: -6.13749e-06 448: -3.06874e-06 449: 6.13749e-06 450: 3.06874e-06 511: -1.99053e-20 512: 1.90065e-05 515: -6.53351e-06 516: 3.26676e-06 533: 6.53351e-06 534: -3.26676e-06 666: 1.01644e-20 687: -1.27055e-21
Row 513: 77: -0.0002684 78: -0.00107303 85: -0.00107303 88: -0.000268112 507: 4.47334e-05 508: 6.39048e-06 509: 4.47334e-05 510: 6.39048e-06 513: 0.000178838 514: 3.98105e-20 515: 4.46854e-05 516: -6.38363e-06 545: 4.46854e-05 546: -6.38363e-06 686: -2.55619e-05 688: -2.55345e-05
Row 514: 77: -1.35525e-19 78: 0.000178838 85: -0.000178838 88: -1.47384e-19 507: -6.39048e-06 508: -3.19524e-06 509: 6.39048e-06 510: 3.19524e-06 513: 3.98105e-20 514: 1.91612e-05 515: -6.38363e-06 516: 3.19181e-06 545: 6.38363e-06 546: -3.19181e-06 686: -1.05879e-20 688: -1.17526e-20
Row 515: 78: -0.00108504 82: -0.000274408 85: -0.000268112 88: -0.00108504 511: 4.57346e-05 512: -6.53351e-06 513: 4.46854e-05 514: -6.38363e-06 515: 0.00018084 516: 2.11758e-20 533: 4.57346e-05 534: 6.53351e-06 545: 4.46854e-05 546: 6.38363e-06 687: -2.61341e-05 688: -2.55345e-05
Row 516: 78: 0.00018084 82: -1.49078e-19 85: -1.01644e-20 88: -0.00018084 511: -6.53351e-06 512: 3.26676e-06 513: -6.38363e-06 514: 3.19181e-06 515: 2.11758e-20 516: 1.93757e-05 533: 6.53351e-06 534: 3.26676e-06 545: 6.38363e-06 546: 3.19181e-06 687: -1.16467e-20 688: -1.27055e-21
Row 517: 69: -0.000225961 79: -0.00100129 80: -0.00100129 87: -0.000274682 473: 3.76601e-05 474: 5.38002e-06 475: 3.76601e-05 476: 5.38002e-06 517: 0.000166881 518: 3.89635e-20 521: 4.57804e-05 522: -6.54005e-06 525: 4.57804e-05 526: -6.54005e-06 662: -2.15201e-05 684: -2.61602e-05
Row 518: 69: -1.13502e-19 79: 0.000166881 80: -0.000166881 87: -1.52466e-19 473: -5.38002e-06 474: -2.69001e-06 475: 5.38002e-06 476: 2.69001e-06 517: 3.89635e-20 518: 1.78801e-05 521: -6.54005e-06 522: 3.27003e-06 525: 6.54005e-06 526: -3.27003e-06 662: -9.1056e-21 684: -1.20702e-20
Row 519: 72: -0.00022721 79: -0.00099665 84: -0.00099665 87: -0.000271116 489: 3.78683e-05 490: 5.40975e-06 491: 3.78683e-05 492: 5.40975e-06 519: 0.000166108 520: -1.86347e-20 521: 4.51859e-05 522: -6.45513e-06 541: 4.51859e-05 542: -6.45513e-06 682: -2.1639e-05 685: -2.58205e-05
Row 520: 72: 1.15196e-19 79: 0.000166108 84: -0.000166108 87: -3.38813e-21 489: -5.40975e-06 490: -2.70488e-06 491: 5.40975e-06 492: 2.70488e-06 519: -1.86347e-20 520: 1.77973e-05 521: -6.45513e-06 522: 3.22757e-06 541: 6.45513e-06 542: -3.22757e-06 682: 8.89385e-21 685: -1.69407e-21
Row 521: 79: -0.0010916 80: -0.000274682 84: -0.000271116 87: -0.0010916 517: 4.57804e-05 518: -6.54005e-06 519: 4.51859e-05 520: -6.45513e-06 521: 0.000181933 522: 2.15993e-20 525: 4.57804e-05 526: 6.54005e-06 541: 4.51859e-05 542: 6.45513e-06 684: -2.61602e-05 685: -2.58205e-05
Row 522: 79: 0.000181933 80: -8.47033e-21 84: -1.47384e-19 87: -0.000181933 517: -6.54005e-06 518: 3.27003e-06 519: -6.45513e-06 520: 3.22757e-06 521: 2.15993e-20 522: 1.94928e-05 525: 6.54005e-06 526: 3.27003e-06 541: 6.45513e-06 542: 3.22757e-06 684: -8.47033e-22 685: -1.14349e-20
Row 523: 67: -0.00022781 80: -0.000977243 81: -0.000977243 87: -0.000260811 463: 3.79684e-05 464: 5.42406e-06 465: 3.79684e-05 466: 5.42406e-06 523: 0.000162874 524: 3.81165e-20 525: 4.34685e-05 526: -6.20979e-06 529: 4.34685e-05 530: -6.20979e-06 664: -2.16962e-05 690: -2.48392e-05
Row 524: 67: -1.15196e-19 80: 0.000162874 81: -0.000162874 87: -1.38913e-19 463: -5.42406e-06 464: -2.71203e-06 465: 5.42406e-06 466: 2.71203e-06 523: 3.81165e-20 524: 1.74508e-05 525: -6.20979e-06 526: 3.10489e-06 529: 6.20979e-06 530: -3.10489e-06 664: -8.89385e-21 690: -1.11173e-20
Row 525: 79: -0.000274682 80: -0.00107099 81: -0.000260811 87: -0.00107099 517: 4.57804e-05 518: 6.54005e-06 521: 4.57804e-05 522: 6.54005e-06 523: 4.34685e-05 524: -6.20979e-06 525: 0.000178498 526: -2.03288e-20 529: 4.34685e-05 530: 6.20979e-06 684: -2.61602e-05 690: -2.48392e-05
Row 526: 79: 1.42302e-19 80: 0.000178498 81: -1.01644e-20 87: -0.000178498 517: -6.54005e-06 518: -3.27003e-06 521: 6.54005e-06 522: 3.27003e-06 523: -6.20979e-06 524: 3.10489e-06 525: -2.03288e-20 526: 1.91248e-05 529: 6.20979e-06 530: 3.10489e-06 684: 1.05879e-20 690: -1.27055e-21
Row 527: 68: -0.000311204 81: -0.00117314 82: -0.00117314 88: -0.000275367 467: 5.18673e-05 468: 7.40961e-06 469: 5.18673e-05 470: 7.40961e-06 527: 0.000195524 528: 4.57398e-20 531: 4.58946e-05 532: -6.55636e-06 533: 4.58946e-05 534: -6.55636e-06 674: -2.96384e-05 689: -2.62255e-05
Row 528: 68: -1.59242e-19 81: 0.000195524 82: -0.000195524 88: -1.49078e-19 467: -7.40961e-06 468: -3.70481e-06 469: 7.40961e-06 470: 3.70481e-06 527: 4.57398e-20 528: 2.0949e-05 531: -6.55636e-06 532: 3.27818e-06 533: 6.55636e-06 534: -3.27818e-06 674: -1.20702e-20 689: -1.19643e-20
Row 529: 80: -0.000260811 81: -0.00114435 87: -0.00114435 88: -0.000311362 523: 4.34685e-05 524: 6.20979e-06 525: 4.34685e-05 526: 6.20979e-06 529: 0.000190724 530: -1.86347e-20 531: 5.18936e-05 532: -7.41337e-06 551: 5.18936e-05 552: -7.41337e-06 690: -2.48392e-05 694: -2.96535e-05
Row 530: 80: 1.33831e-19 81: 0.000190724 87: -0.000190724 88: -1.35525e-20 523: -6.20979e-06 524: -3.10489e-06 525: 6.20979e-06 526: 3.10489e-06 529: -1.86347e-20 530: 2.04347e-05 531: -7.41337e-06 532: 3.70669e-06 551: 7.41337e-06 552: -3.70669e-06 690: 9.95264e-21 694: -1.27055e-21
Row 531: 81: -0.00117346 82: -0.000275367 87: -0.000311362 88: -0.00117346 527: 4.58946e-05 528: -6.55636e-06 529: 5.18936e-05 530: -7.41337e-06 531: 0.000195576 532: 2.28699e-20 533: 4.58946e-05 534: 6.55636e-06 551: 5.18936e-05 552: 7.41337e-06 689: -2.62255e-05 694: -2.96535e-05
Row 532: 81: 0.000195576 82: -6.77626e-21 87: -1.67713e-19 88: -0.000195576 527: -6.55636e-06 528: 3.27818e-06 529: -7.41337e-06 530: 3.70669e-06 531: 2.28699e-20 532: 2.09546e-05 533: 6.55636e-06 534: 3.27818e-06 551: 7.41337e-06 552: 3.70669e-06 689: -1.27055e-21 694: -1.3129e-20
Row 533: 78: -0.000274408 81: -0.000275367 82: -0.00109955 88: -0.00109955 511: 4.57346e-05 512: 6.53351e-06 515: 4.57346e-05 516: 6.53351e-06 527: 4.58946e-05 528: 6.55636e-06 531: 4.58946e-05 532: 6.55636e-06 533: 0.000183258 534: 0 687: -2.61341e-05 689: -2.62255e-05
Row 534: 78: -1.37219e-19 81: 1.40607e-19 82: 0.000183258 88: -0.000183258 511: -6.53351e-06 512: -3.26676e-06 515: 6.53351e-06 516: 3.26676e-06 527: -6.55636e-06 528: -3.27818e-06 531: 6.55636e-06 532: 3.27818e-06 533: 0 534: 1.96348e-05 687: -1.07997e-20 689: 1.10114e-20
Row 535: 74: -0.000242251 83: -0.00106408 84: -0.00106408 87: -0.00028979 497: 4.03752e-05 498: 5.76788e-06 499: 4.03752e-05 500: 5.76788e-06 535: 0.000177347 536: 3.98105e-20 539: 4.82984e-05 540: -6.89977e-06 541: 4.82984e-05 542: -6.89977e-06 680: -2.30715e-05 692: -2.75991e-05
Row 536: 74: -1.20279e-19 83: 0.000177347 84: -0.000177347 87: -1.59242e-19 497: -5.76788e-06 498: -2.88394e-06 499: 5.76788e-06 500: 2.88394e-06 535: 3.98105e-20 536: 1.90015e-05 539: -6.89977e-06 540: 3.44989e-06 541: 6.89977e-06 542: -3.44989e-06 680: -9.52912e-21 692: -1.3129e-20
Row 537: 57: -0.000313761 83: -0.00133714 86: -0.00133714 87: -0.000354811 411: 5.22935e-05 412: 7.4705e-06 413: 5.22935e-05 414: 7.4705e-06 537: 0.000222857 538: -2.37169e-20 539: 5.91352e-05 540: -8.44789e-06 547: 5.91352e-05 548: -8.44789e-06 678: -2.9882e-05 695: -3.37915e-05
Row 538: 57: 1.57548e-19 83: 0.000222857 86: -0.000222857 87: -1.01644e-20 411: -7.4705e-06 412: -3.73525e-06 413: 7.4705e-06 414: 3.73525e-06 537: -2.37169e-20 538: 2.38776e-05 539: -8.44789e-06 540: 4.22394e-06 547: 8.44789e-06 548: -4.22394e-06 678: 1.20702e-20 695: -1.27055e-21
Row 539: 83: -0.0012892 84: -0.00028979 86: -0.000354811 87: -0.0012892 535: 4.82984e-05 536: -6.89977e-06 537: 5.91352e-05 538: -8.44789e-06 539: 0.000214867 540: 2.6258e-20 541: 4.82984e-05 542: 6.89977e-06 547: 5.91352e-05 548: 8.44789e-06 692: -2.75991e-05 695: -3.37915e-05
Row 540: 83: 0.000214867 84: -3.38813e-21 86: -1.91429e-19 87: -0.000214867 535: -6.89977e-06 536: 3.44989e-06 537: -8.44789e-06 538: 4.22394e-06 539: 2.6258e-20 540: 2.30215e-05 541: 6.89977e-06 542: 3.44989e-06 547: 8.44789e-06 548: 4.22394e-06 692: -1.27055e-21 695: -1.48231e-20
Row 541: 79: -0.000271116 83: -0.00028979 84: -0.00112181 87: -0.00112181 519: 4.51859e-05 520: 6.45513e-06 521: 4.51859e-05 522: 6.45513e-06 535: 4.82984e-05 536: 6.89977e-06 539: 4.82984e-05 540: 6.89977e-06 541: 0.000186969 542: -1.69407e-21 685: -2.58205e-05 692: -2.75991e-05
Row 542: 79: -1.38913e-19 83: 1.47384e-19 84: 0.000186969 87: -0.000186969 519: -6.45513e-06 520: -3.22757e-06 521: 6.45513e-06 522: 3.22757e-06 535: -6.89977e-06 536: -3.44989e-06 539: 6.89977e-06 540: 3.44989e-06 541: -1.69407e-21 542: 2.00324e-05 685: -1.07997e-20 692: 1.18585e-20
Row 543: 76: -0.000272806 85: -0.00112101 86: -0.00112101 88: -0.000287697 503: 4.54676e-05 504: 6.49537e-06 505: 4.54676e-05 506: 6.49537e-06 543: 0.000186834 544: 4.57398e-20 545: 4.79495e-05 546: -6.84993e-06 549: 4.79495e-05 550: -6.84993e-06 691: -2.59815e-05 693: -2.73997e-05
Row 544: 76: -1.40607e-19 85: 0.000186834 86: -0.000186834 88: -1.5416e-19 503: -6.49537e-06 504: -3.24769e-06 505: 6.49537e-06 506: 3.24769e-06 543: 4.57398e-20 544: 2.0018e-05 545: -6.84993e-06 546: 3.42497e-06 549: 6.84993e-06 550: -3.42497e-06 691: -1.10114e-20 693: -1.2282e-20
Row 545: 78: -0.000268112 85: -0.00111162 86: -0.000287697 88: -0.00111162 513: 4.46854e-05 514: 6.38363e-06 515: 4.46854e-05 516: 6.38363e-06 543: 4.79495e-05 544: -6.84993e-06 545: 0.00018527 546: -2.20229e-20 549: 4.79495e-05 550: 6.84993e-06 688: -2.55345e-05 693: -2.73997e-05
Row 546: 78: 1.38913e-19 85: 0.00018527 86: -6.77626e-21 88: -0.00018527 513: -6.38363e-06 514: -3.19181e-06 515: 6.38363e-06 516: 3.19181e-06 543: -6.84993e-06 544: 3.42497e-06 545: -2.20229e-20 546: 1.98503e-05 549: 6.84993e-06 550: 3.42497e-06 688: 1.05879e-20 693: -1.27055e-21
Row 547: 83: -0.000354811 86: -0.00136046 87: -0.00136046 88: -0.000325419 537: 5.91352e-05 538: 8.44789e-06 539: 5.91352e-05 540: 8.44789e-06 547: 0.000226743 548: 4.99749e-20 549: 5.42365e-05 550: -7.74808e-06 551: 5.42365e-05 552: -7.74808e-06 695: -3.37915e-05 696: -3.09923e-05
Row 548: 83: -1.77877e-19 86: 0.000226743 87: -0.000226743 88: -1.77877e-19 537: -8.44789e-06 538: -4.22394e-06 539: 8.44789e-06 540: 4.22394e-06 547: 4.99749e-20 548: 2.42939e-05 549: -7.74808e-06 550: 3.87404e-06 551: 7.74808e-06 552: -3.87404e-06 695: -1.43996e-20 696: -1.3976e-20
Row 549: 85: -0.000287697 86: -0.00122623 87: -0.000325419 88: -0.00122623 543: 4.79495e-05 544: 6.84993e-06 545: 4.79495e-05 546: 6.84993e-06 547: 5.42365e-05 548: -7.74808e-06 549: 0.000204372 550: -2.20229e-20 551: 5.42365e-05 552: 7.74808e-06 693: -2.73997e-05 696: -3.09923e-05
Row 550: 85: 1.4569e-19 86: 0.000204372 87: 0 88: -0.000204372 543: -6.84993e-06 544: -3.42497e-06 545: 6.84993e-06 546: 3.42497e-06 547: -7.74808e-06 548: 3.87404e-06 549: -2.20229e-20 550: 2.1897e-05 551: 7.74808e-06 552: 3.87404e-06 693: 1.12232e-20 696: -1.69407e-21
Row 551: 81: -0.000311362 86: -0.000325419 87: -0.00127356 88: -0.00127356 529: 5.18936e-05 530: 7.41337e-06 531: 5.18936e-05 532: 7.41337e-06 547: 5.42365e-05 548: 7.74808e-06 549: 5.42365e-05 550: 7.74808e-06 551: 0.00021226 552: 0 694: -2.96535e-05 696: -3.09923e-05
Row 552: 81: -1.59242e-19 86: 1.6263e-19 87: 0.00021226 88: -0.00021226 529: -7.41337e-06 530: -3.70669e-06 531: 7.41337e-06 532: 3.70669e-06 547: -7.74808e-06 548: -3.87404e-06 549: 7.74808e-06 550: 3.87404e-06 551: 0 552: 2.27422e-05 694: -1.16467e-20 696: 1.29173e-20
Row 553: 0: 0.000173611 4: 0.000173611 31: 0.000173611 89: -2.48016e-05 90: -1.27055e-21 91: -2.48016e-05 92: -1.09055e-20 111: -2.48016e-05 112: -1.01644e-20 553: 1.24008e-05
Row 554: 4: 0.000177466 5: 0.000177466 32: 0.000177466 109: -2.53522e-05 110: -1.27055e-21 113: -2.53522e-05 114: -1.15408e-20 117: -2.53522e-05 118: -1.05879e-20 554: 1.26761e-05
Row 555: 5: 0.000171977 6: 0.000171977 33: 0.000171977 115: -2.45682e-05 116: -1.27055e-21 119: -2.45682e-05 120: -1.12232e-20 123: -2.45682e-05 124: -9.95264e-21 555: 1.22841e-05
Row 556: 5: 0.000191998 32: 0.000191998 33: 0.000191998 117: -2.74283e-05 118: -1.27055e-20 119: -2.74283e-05 120: -1.27055e-21 267: -2.74283e-05 268: 1.10114e-20 556: 1.37141e-05
Row 557: 6: 0.000166987 7: 0.000166987 34: 0.000166987 121: -2.38553e-05 122: -8.47033e-22 125: -2.38553e-05 126: -1.06938e-20 129: -2.38553e-05 130: -9.635e-21 557: 1.19277e-05
Row 558: 6: 0.000172273 33: 0.000172273 34: 0.000172273 123: -2.46105e-05 124: -1.12232e-20 125: -2.46105e-05 126: -1.27055e-21 273: -2.46105e-05 274: 1.00585e-20 558: 1.23052e-05
Row 559: 7: 0.000154411 8: 0.000154411 35: 0.000154411 127: -2.20588e-05 128: -1.05879e-21 131: -2.20588e-05 132: -9.95264e-21 135: -2.20588e-05 136: -8.68209e-21 559: 1.10294e-05
Row 560: 7: 0.000156498 34: 0.000156498 35: 0.000156498 129: -2.23569e-05 130: -1.01644e-20 131: -2.23569e-05 132: -1.27055e-21 279: -2.23569e-05 280: 9.52912e-21 560: 1.11784e-05
Row 561: 8: 0.00013519 9: 0.00013519 36: 0.00013519 133: -1.93129e-05 134: -1.05879e-21 137: -1.93129e-05 138: -8.57621e-21 141: -1.93129e-05 142: -7.6233e-21 561: 9.65645e-06
Row 562: 8: 0.000132181 35: 0.000132181 36: 0.000132181 135: -1.8883e-05 136: -8.47033e-21 137: -1.8883e-05 138: -1.05879e-21 285: -1.8883e-05 286: 7.41154e-21 562: 9.44148e-06
Row 563: 9: 0.000132168 10: 0.000132168 37: 0.000132168 139: -1.88811e-05 140: -8.47033e-22 143: -1.88811e-05 144: -8.68209e-21 145: -1.88811e-05 146: -8.25857e-21 563: 9.44057e-06
Row 564: 9: 0.000122664 36: 0.000122664 37: 0.000122664 141: -1.75234e-05 142: -7.94093e-21 143: -1.75234e-05 144: -8.47033e-22 291: -1.75234e-05 292: 7.19978e-21 564: 8.76169e-06
Row 565: 1: 0.000146454 10: 0.000146454 38: 0.000146454 93: -2.0922e-05 94: -9.42324e-21 97: -2.0922e-05 98: -1.05879e-21 147: -2.0922e-05 148: 8.68209e-21 565: 1.0461e-05
Row 566: 10: 0.00012418 37: 0.00012418 38: 0.00012418 145: -1.774e-05 146: -7.94093e-21 147: -1.774e-05 148: -1.05879e-21 297: -1.774e-05 298: 6.98802e-21 566: 8.87001e-06
Row 567: 1: 0.000141857 11: 0.000141857 38: 0.000141857 95: -2.02653e-05 96: -8.47033e-22 97: -2.02653e-05 98: -8.99973e-21 151: -2.02653e-05 152: -8.47033e-21 567: 1.01327e-05
Row 568: 11: 0.000123655 12: 0.000123655 39: 0.000123655 149: -1.7665e-05 150: -1.05879e-21 153: -1.7665e-05 154: -7.83505e-21 157: -1.7665e-05 158: -7.41154e-21 568: 8.83249e-06
Row 569: 11: 0.000124239 38: 0.000124239 39: 0.000124239 151: -1.77484e-05 152: -8.04681e-21 153: -1.77484e-05 154: -1.05879e-21 303: -1.77484e-05 304: 7.19978e-21 569: 8.87418e-06
Row 570: 12: 0.000124065 13: 0.000124065 40: 0.000124065 155: -1.77236e-05 156: -8.47033e-22 159: -1.77236e-05 160: -8.15269e-21 163: -1.77236e-05 164: -6.88214e-21 570: 8.86182e-06
Row 571: 12: 0.000115531 39: 0.000115531 40: 0.000115531 157: -1.65045e-05 158: -7.41154e-21 159: -1.65045e-05 160: -6.35275e-22 307: -1.65045e-05 308: 6.77626e-21 571: 8.25223e-06
Row 572: 13: 0.0001405 14: 0.0001405 41: 0.0001405 161: -2.00715e-05 162: -1.05879e-21 165: -2.00715e-05 166: -8.99973e-21 169: -2.00715e-05 170: -7.83505e-21 572: 1.00357e-05
Row 573: 13: 0.000122878 40: 0.000122878 41: 0.000122878 163: -1.7554e-05 164: -7.94093e-21 165: -1.7554e-05 166: -6.35275e-22 313: -1.7554e-05 314: 7.51742e-21 573: 8.77702e-06
Row 574: 14: 0.000151267 15: 0.000151267 42: 0.000151267 167: -2.16095e-05 168: -8.47033e-22 171: -2.16095e-05 172: -9.84676e-21 175: -2.16095e-05 176: -9.21148e-21 574: 1.08048e-05
Row 575: 14: 0.000142603 41: 0.000142603 42: 0.000142603 169: -2.03718e-05 170: -9.1056e-21 171: -2.03718e-05 172: -8.47033e-22 319: -2.03718e-05 320: 8.47033e-21 575: 1.01859e-05
Row 576: 15: 0.000153425 16: 0.000153425 43: 0.000153425 173: -2.19178e-05 174: -1.27055e-21 177: -2.19178e-05 178: -9.635e-21 181: -2.19178e-05 182: -8.57621e-21 576: 1.09589e-05
Row 577: 15: 0.000155294 42: 0.000155294 43: 0.000155294 175: -2.21848e-05 176: -1.00585e-20 177: -2.21848e-05 178: -1.27055e-21 325: -2.21848e-05 326: 9.1056e-21 577: 1.10924e-05
Row 578: 16: 0.000145807 17: 0.000145807 44: 0.000145807 179: -2.08296e-05 180: -1.05879e-21 183: -2.08296e-05 184: -9.31736e-21 187: -2.08296e-05 188: -8.57621e-21 578: 1.04148e-05
Row 579: 16: 0.000155964 43: 0.000155964 44: 0.000155964 181: -2.22806e-05 182: -1.02703e-20 183: -2.22806e-05 184: -1.48231e-21 331: -2.22806e-05 332: 9.52912e-21 579: 1.11403e-05
Row 580: 2: 0.000173611 17: 0.000173611 18: 0.000173611 99: -2.48016e-05 100: -1.10114e-20 101: -2.48016e-05 102: -1.27055e-21 185: -2.48016e-05 186: 1.05879e-20 580: 1.24008e-05
Row 581: 18: 0.00013959 19: 0.00013959 45: 0.00013959 189: -1.99415e-05 190: -1.27055e-21 193: -1.99415e-05 194: -8.99973e-21 197: -1.99415e-05 198: -8.04681e-21 581: 9.97075e-06
Row 582: 19: 0.000164501 20: 0.000164501 46: 0.000164501 195: -2.35001e-05 196: -1.27055e-21 199: -2.35001e-05 200: -1.06938e-20 203: -2.35001e-05 204: -9.52912e-21 582: 1.17501e-05
Row 583: 19: 0.000131955 45: 0.000131955 46: 0.000131955 197: -1.88508e-05 198: -8.36445e-21 199: -1.88508e-05 200: -8.47033e-22 341: -1.88508e-05 342: 7.83505e-21 583: 9.42538e-06
Row 584: 20: 0.000169289 21: 0.000169289 47: 0.000169289 201: -2.41841e-05 202: -1.05879e-21 205: -2.41841e-05 206: -1.07997e-20 209: -2.41841e-05 210: -9.52912e-21 584: 1.20921e-05
Row 585: 20: 0.00016177 46: 0.00016177 47: 0.00016177 203: -2.311e-05 204: -1.05879e-20 205: -2.311e-05 206: -1.27055e-21 345: -2.311e-05 346: 9.31736e-21 585: 1.1555e-05
Row 586: 21: 0.000158583 22: 0.000158583 48: 0.000158583 207: -2.26548e-05 208: -1.27055e-21 211: -2.26548e-05 212: -1.01644e-20 215: -2.26548e-05 216: -9.21148e-21 586: 1.13274e-05
Row 587: 21: 0.000162283 47: 0.000162283 48: 0.000162283 209: -2.31833e-05 210: -1.03762e-20 211: -2.31833e-05 212: -8.47033e-22 351: -2.31833e-05 352: 9.52912e-21 587: 1.15917e-05
Row 588: 22: 0.000146755 23: 0.000146755 49: 0.000146755 213: -2.0965e-05 214: -8.47033e-22 217: -2.0965e-05 218: -9.635e-21 221: -2.0965e-05 222: -8.47033e-21 588: 1.04825e-05
Row 589: 22: 0.00014544 48: 0.00014544 49: 0.00014544 215: -2.07771e-05 216: -9.635e-21 217: -2.07771e-05 218: -1.27055e-21 357: -2.07771e-05 358: 8.68209e-21 589: 1.03886e-05
Row 590: 23: 0.000132904 24: 0.000132904 50: 0.000132904 219: -1.89862e-05 220: -6.35275e-22 223: -1.89862e-05 224: -8.68209e-21 225: -1.89862e-05 226: -7.51742e-21 590: 9.49312e-06
Row 591: 23: 0.000125972 49: 0.000125972 50: 0.000125972 221: -1.79959e-05 222: -8.15269e-21 223: -1.79959e-05 224: -6.35275e-22 363: -1.79959e-05 364: 7.41154e-21 591: 8.99797e-06
Row 592: 3: 0.000141347 24: 0.000141347 51: 0.000141347 103: -2.01924e-05 104: -9.21148e-21 107: -2.01924e-05 108: -8.47033e-22 227: -2.01924e-05 228: 8.47033e-21 592: 1.00962e-05
Row 593: 24: 0.000125208 50: 0.000125208 51: 0.000125208 225: -1.78868e-05 226: -8.25857e-21 227: -1.78868e-05 228: -8.47033e-22 369: -1.78868e-05 370: 7.6233e-21 593: 8.94341e-06
Row 594: 3: 0.000137992 25: 0.000137992 51: 0.000137992 105: -1.97132e-05 106: -8.47033e-22 107: -1.97132e-05 108: -8.99973e-21 231: -1.97132e-05 232: -8.25857e-21 594: 9.85658e-06
Row 595: 25: 0.000125563 26: 0.000125563 52: 0.000125563 229: -1.79375e-05 230: -8.47033e-22 233: -1.79375e-05 234: -8.15269e-21 237: -1.79375e-05 238: -7.19978e-21 595: 8.96877e-06
Row 596: 25: 0.000124395 51: 0.000124395 52: 0.000124395 231: -1.77707e-05 232: -8.15269e-21 233: -1.77707e-05 234: -1.05879e-21 375: -1.77707e-05 376: 7.30566e-21 596: 8.88534e-06
Row 597: 26: 0.000135841 27: 0.000135841 53: 0.000135841 235: -1.94059e-05 236: -1.05879e-21 239: -1.94059e-05 240: -8.57621e-21 243: -1.94059e-05 244: -7.94093e-21 597: 9.70294e-06
Row 598: 26: 0.000120057 52: 0.000120057 53: 0.000120057 237: -1.7151e-05 238: -7.6233e-21 239: -1.7151e-05 240: -8.47033e-22 379: -1.7151e-05 380: 6.98802e-21 598: 8.57548e-06
Row 599: 27: 0.000141069 28: 0.000141069 54: 0.000141069 241: -2.01527e-05 242: -1.05879e-21 245: -2.01527e-05 246: -9.31736e-21 249: -2.01527e-05 250: -8.04681e-21 599: 1.00763e-05
Row 600: 27: 0.000134434 53: 0.000134434 54: 0.000134434 243: -1.92048e-05 244: -8.78797e-21 245: -1.92048e-05 246: -1.27055e-21 385: -1.92048e-05 386: 8.04681e-21 600: 9.60242e-06
Row 601: 28: 0.000141009 29: 0.000141009 55: 0.000141009 247: -2.01441e-05 248: -6.35275e-22 251: -2.01441e-05 252: -8.99973e-21 255: -2.01441e-05 256: -8.47033e-21 601: 1.0072e-05
Row 602: 28: 0.00014252 54: 0.00014252 55: 0.00014252 249: -2.036e-05 250: -9.42324e-21 251: -2.036e-05 252: -1.05879e-21 391: -2.036e-05 392: 8.57621e-21 602: 1.018e-05
Row 603: 29: 0.000155684 30: 0.000155684 56: 0.000155684 253: -2.22405e-05 254: -1.27055e-21 257: -2.22405e-05 258: -9.74088e-21 261: -2.22405e-05 262: -8.99973e-21 603: 1.11203e-05
Row 604: 29: 0.000178104 55: 0.000178104 56: 0.000178104 255: -2.54434e-05 256: -1.18585e-20 257: -2.54434e-05 258: -1.27055e-21 397: -2.54434e-05 398: 1.07997e-20 604: 1.27217e-05
Row 605: 30: 0.000155684 31: 0.000155684 56: 0.000155684 259: -2.22405e-05 260: -1.27055e-21 261: -2.22405e-05 262: -9.74088e-21 265: -2.22405e-05 266: -8.99973e-21 605: 1.11203e-05
Row 606: 4: 0.000243852 31: 0.000243852 32: 0.000243852 111: -3.4836e-05 112: -1.58819e-20 113: -3.4836e-05 114: -1.69407e-21 263: -3.4836e-05 264: 1.43996e-20 606: 1.7418e-05
Row 607: 17: 0.000204504 18: 0.000204504 44: 0.000204504 185: -2.92149e-05 186: -1.69407e-21 187: -2.92149e-05 188: -1.27055e-20 191: -2.92149e-05 192: -1.16467e-20 607: 1.46074e-05
Row 608: 18: 0.000160889 44: 0.000160889 45: 0.000160889 191: -2.29842e-05 192: -1.0482e-20 193: -2.29842e-05 194: -1.27055e-21 337: -2.29842e-05 338: 9.31736e-21 608: 1.14921e-05
Row 609: 31: 0.000265127 32: 0.000265127 56: 0.000265127 263: -3.78753e-05 264: -1.69407e-21 265: -3.78753e-05 266: -1.67289e-20 269: -3.78753e-05 270: -1.56701e-20 609: 1.89376e-05
Row 610: 33: 0.000178889 34: 0.000178889 57: 0.000178889 273: -2.55556e-05 274: -8.47033e-22 275: -2.55556e-05 276: -1.13291e-20 281: -2.55556e-05 282: -1.07997e-20 610: 1.27778e-05
Row 611: 32: 0.000185309 33: 0.000185309 58: 0.000185309 267: -2.64727e-05 268: -1.27055e-21 271: -2.64727e-05 272: -1.15408e-20 277: -2.64727e-05 278: -1.07997e-20 611: 1.32364e-05
Row 612: 33: 0.000178788 57: 0.000178788 58: 0.000178788 275: -2.55411e-05 276: -1.27055e-21 277: -2.55411e-05 278: -1.13291e-20 407: -2.55411e-05 408: -1.03762e-20 612: 1.27706e-05
Row 613: 35: 0.000142474 36: 0.000142474 59: 0.000142474 285: -2.03534e-05 286: -1.05879e-21 287: -2.03534e-05 288: -9.31736e-21 293: -2.03534e-05 294: -8.36445e-21 613: 1.01767e-05
Row 614: 36: 0.000110658 37: 0.000110658 60: 0.000110658 291: -1.58083e-05 292: -8.47033e-22 295: -1.58083e-05 296: -6.98802e-21 299: -1.58083e-05 300: -6.35275e-21 614: 7.90417e-06
Row 615: 36: 0.000110318 59: 0.000110318 60: 0.000110318 293: -1.57597e-05 294: -7.30566e-21 295: -1.57597e-05 296: -1.05879e-21 419: -1.57597e-05 420: 6.56451e-21 615: 7.87987e-06
Row 616: 37: 0.000121127 38: 0.000121127 61: 0.000121127 297: -1.73039e-05 298: -8.47033e-22 301: -1.73039e-05 302: -8.15269e-21 305: -1.73039e-05 306: -7.0939e-21 616: 8.65194e-06
Row 617: 37: 0.000100541 60: 0.000100541 61: 0.000100541 299: -1.4363e-05 300: -6.56451e-21 301: -1.4363e-05 302: -8.47033e-22 427: -1.4363e-05 428: 6.14099e-21 617: 7.18149e-06
Row 618: 38: 0.000116856 39: 0.000116856 61: 0.000116856 303: -1.66938e-05 304: -6.35275e-22 305: -1.66938e-05 306: -7.51742e-21 309: -1.66938e-05 310: -6.98802e-21 618: 8.34688e-06
Row 619: 40: 0.00013311 41: 0.00013311 62: 0.00013311 313: -1.90157e-05 314: -8.47033e-22 315: -1.90157e-05 316: -8.47033e-21 321: -1.90157e-05 322: -7.6233e-21 619: 9.50785e-06
Row 620: 39: 0.000104461 40: 0.000104461 63: 0.000104461 307: -1.4923e-05 308: -8.47033e-22 311: -1.4923e-05 312: -6.56451e-21 317: -1.4923e-05 318: -6.14099e-21 620: 7.4615e-06
Row 621: 39: 9.65601e-05 61: 9.65601e-05 63: 9.65601e-05 309: -1.37943e-05 310: -6.35275e-21 311: -1.37943e-05 312: -6.35275e-22 431: -1.37943e-05 432: 5.61159e-21 621: 6.89715e-06
Row 622: 40: 0.000105294 62: 0.000105294 63: 0.000105294 315: -1.50421e-05 316: -8.47033e-22 317: -1.50421e-05 318: -6.88214e-21 435: -1.50421e-05 436: -6.24687e-21 622: 7.52103e-06
Row 623: 41: 0.000148934 42: 0.000148934 64: 0.000148934 319: -2.12762e-05 320: -1.05879e-21 323: -2.12762e-05 324: -9.635e-21 327: -2.12762e-05 328: -8.57621e-21 623: 1.06381e-05
Row 624: 41: 0.000140092 62: 0.000140092 64: 0.000140092 321: -2.00131e-05 322: -8.89385e-21 323: -2.00131e-05 324: -1.05879e-21 437: -2.00131e-05 438: 7.94093e-21 624: 1.00066e-05
Row 625: 42: 0.000162584 43: 0.000162584 65: 0.000162584 325: -2.32263e-05 326: -1.05879e-21 329: -2.32263e-05 330: -1.01644e-20 333: -2.32263e-05 334: -9.74088e-21 625: 1.16131e-05
Row 626: 42: 0.00016254 64: 0.00016254 65: 0.00016254 327: -2.32199e-05 328: -1.0482e-20 329: -2.32199e-05 330: -1.05879e-21 445: -2.32199e-05 446: 9.74088e-21 626: 1.161e-05
Row 627: 43: 0.000161537 44: 0.000161537 66: 0.000161537 331: -2.30768e-05 332: -1.05879e-21 335: -2.30768e-05 336: -1.03762e-20 339: -2.30768e-05 340: -9.74088e-21 627: 1.15384e-05
Row 628: 43: 0.000162621 65: 0.000162621 66: 0.000162621 333: -2.32315e-05 334: -1.06938e-20 335: -2.32315e-05 336: -1.27055e-21 451: -2.32315e-05 452: 9.42324e-21 628: 1.16158e-05
Row 629: 44: 0.000139275 45: 0.000139275 66: 0.000139275 337: -1.98964e-05 338: -6.35275e-22 339: -1.98964e-05 340: -8.68209e-21 343: -1.98964e-05 344: -8.04681e-21 629: 9.94819e-06
Row 630: 47: 0.000163438 48: 0.000163438 67: 0.000163438 351: -2.33483e-05 352: -1.27055e-21 353: -2.33483e-05 354: -1.0482e-20 359: -2.33483e-05 360: -9.84676e-21 630: 1.16741e-05
Row 631: 46: 0.000193011 47: 0.000193011 68: 0.000193011 345: -2.7573e-05 346: -8.47033e-22 349: -2.7573e-05 350: -1.2282e-20 355: -2.7573e-05 356: -1.12232e-20 631: 1.37865e-05
Row 632: 47: 0.000194453 67: 0.000194453 68: 0.000194453 353: -2.7779e-05 354: -8.47033e-22 355: -2.7779e-05 356: -1.21761e-20 459: -2.7779e-05 460: -1.14349e-20 632: 1.38895e-05
Row 633: 45: 0.000139669 46: 0.000139669 66: 0.000139669 341: -1.99528e-05 342: -8.47033e-22 343: -1.99528e-05 344: -8.99973e-21 347: -1.99528e-05 348: -8.15269e-21 633: 9.97639e-06
Row 634: 48: 0.000149945 49: 0.000149945 69: 0.000149945 357: -2.14207e-05 358: -6.35275e-22 361: -2.14207e-05 362: -9.31736e-21 365: -2.14207e-05 366: -8.99973e-21 634: 1.07104e-05
Row 635: 48: 0.000159342 67: 0.000159342 69: 0.000159342 359: -2.27631e-05 360: -1.05879e-20 361: -2.27631e-05 362: -1.05879e-21 461: -2.27631e-05 462: 9.52912e-21 635: 1.13815e-05
Row 636: 49: 0.000135334 50: 0.000135334 70: 0.000135334 363: -1.93334e-05 364: -1.05879e-21 367: -1.93334e-05 368: -8.68209e-21 371: -1.93334e-05 372: -7.6233e-21 636: 9.66672e-06
Row 637: 49: 0.000135847 69: 0.000135847 70: 0.000135847 365: -1.94067e-05 366: -8.99973e-21 367: -1.94067e-05 368: -1.05879e-21 471: -1.94067e-05 472: 8.04681e-21 637: 9.70336e-06
Row 638: 50: 0.000105991 51: 0.000105991 71: 0.000105991 369: -1.51416e-05 370: -8.47033e-22 373: -1.51416e-05 374: -6.88214e-21 377: -1.51416e-05 378: -6.14099e-21 638: 7.57081e-06
Row 639: 50: 0.00010586 70: 0.00010586 71: 0.00010586 371: -1.51229e-05 372: -6.77626e-21 373: -1.51229e-05 374: -6.35275e-22 477: -1.51229e-05 478: 6.14099e-21 639: 7.56145e-06
Row 640: 51: 0.000103545 52: 0.000103545 71: 0.000103545 375: -1.47921e-05 376: -6.35275e-22 377: -1.47921e-05 378: -6.77626e-21 381: -1.47921e-05 382: -5.82335e-21 640: 7.39604e-06
Row 641: 53: 0.000140191 54: 0.000140191 72: 0.000140191 385: -2.00272e-05 386: -1.27055e-21 387: -2.00272e-05 388: -8.99973e-21 393: -2.00272e-05 394: -8.04681e-21 641: 1.00136e-05
Row 642: 52: 0.000128963 53: 0.000128963 73: 0.000128963 379: -1.84233e-05 380: -1.05879e-21 383: -1.84233e-05 384: -8.36445e-21 389: -1.84233e-05 390: -8.04681e-21 642: 9.21167e-06
Row 643: 52: 0.000103225 71: 0.000103225 73: 0.000103225 381: -1.47464e-05 382: -6.88214e-21 383: -1.47464e-05 384: -4.23516e-22 483: -1.47464e-05 484: 6.35275e-21 643: 7.37319e-06
Row 644: 53: 0.000132315 72: 0.000132315 73: 0.000132315 387: -1.89021e-05 388: -8.47033e-22 389: -1.89021e-05 390: -8.47033e-21 485: -1.89021e-05 486: -7.83505e-21 644: 9.45106e-06
Row 645: 54: 0.000145355 55: 0.000145355 74: 0.000145355 391: -2.0765e-05 392: -1.05879e-21 395: -2.0765e-05 396: -9.52912e-21 399: -2.0765e-05 400: -8.68209e-21 645: 1.03825e-05
Row 646: 54: 0.00014203 72: 0.00014203 74: 0.00014203 393: -2.029e-05 394: -9.21148e-21 395: -2.029e-05 396: -8.47033e-22 487: -2.029e-05 488: 8.47033e-21 646: 1.0145e-05
Row 647: 55: 0.000160641 56: 0.000160641 75: 0.000160641 397: -2.29487e-05 398: -1.27055e-21 401: -2.29487e-05 402: -1.01644e-20 405: -2.29487e-05 406: -9.74088e-21 647: 1.14744e-05
Row 648: 55: 0.000131881 74: 0.000131881 75: 0.000131881 399: -1.88401e-05 400: -8.78797e-21 401: -1.88401e-05 402: -1.27055e-21 495: -1.88401e-05 496: 7.83505e-21 648: 9.42004e-06
Row 649: 34: 0.000164009 35: 0.000164009 76: 0.000164009 279: -2.34299e-05 280: -1.05879e-21 283: -2.34299e-05 284: -1.05879e-20 289: -2.34299e-05 290: -9.42324e-21 649: 1.17149e-05
Row 650: 34: 0.00017207 57: 0.00017207 76: 0.00017207 281: -2.45815e-05 282: -1.10114e-20 283: -2.45815e-05 284: -8.47033e-22 409: -2.45815e-05 410: 1.01644e-20 650: 1.22907e-05
Row 651: 35: 0.000150566 59: 0.000150566 76: 0.000150566 287: -2.15095e-05 288: -1.05879e-21 289: -2.15095e-05 290: -9.74088e-21 421: -2.15095e-05 422: -8.89385e-21 651: 1.07547e-05
Row 652: 46: 0.000190989 66: 0.000190989 68: 0.000190989 347: -2.72842e-05 348: -1.2282e-20 349: -2.72842e-05 350: -1.27055e-21 457: -2.72842e-05 458: 1.07997e-20 652: 1.36421e-05
Row 653: 56: 0.000155801 58: 0.000155801 75: 0.000155801 403: -2.22572e-05 404: -1.27055e-21 405: -2.22572e-05 406: -9.95264e-21 415: -2.22572e-05 416: -8.99973e-21 653: 1.11286e-05
Row 654: 32: 0.000200657 56: 0.000200657 58: 0.000200657 269: -2.86653e-05 270: -1.29173e-20 271: -2.86653e-05 272: -1.27055e-21 403: -2.86653e-05 404: 1.18585e-20 654: 1.43326e-05
Row 655: 60: 0.000117061 61: 0.000117061 77: 0.000117061 427: -1.6723e-05 428: -8.47033e-22 429: -1.6723e-05 430: -7.41154e-21 433: -1.6723e-05 434: -6.77626e-21 655: 8.3615e-06
Row 656: 61: 0.00011456 63: 0.00011456 77: 0.00011456 431: -1.63657e-05 432: -4.23516e-22 433: -1.63657e-05 434: -7.19978e-21 443: -1.63657e-05 444: -6.98802e-21 656: 8.18286e-06
Row 657: 59: 0.000124011 60: 0.000124011 77: 0.000124011 419: -1.77158e-05 420: -1.05879e-21 423: -1.77158e-05 424: -8.04681e-21 429: -1.77158e-05 430: -7.41154e-21 657: 8.85792e-06
Row 658: 65: 0.000188852 66: 0.000188852 68: 0.000188852 451: -2.69788e-05 452: -8.47033e-22 453: -2.69788e-05 454: -1.15408e-20 457: -2.69788e-05 458: -1.10114e-20 658: 1.34894e-05
Row 659: 62: 0.000150262 64: 0.000150262 78: 0.000150262 437: -2.1466e-05 438: -8.47033e-22 441: -2.1466e-05 442: -9.95264e-21 447: -2.1466e-05 448: -8.89385e-21 659: 1.0733e-05
Row 660: 69: 0.000159838 70: 0.000159838 79: 0.000159838 471: -2.28339e-05 472: -8.47033e-22 473: -2.28339e-05 474: -1.02703e-20 481: -2.28339e-05 482: -9.31736e-21 660: 1.1417e-05
Row 661: 67: 0.000143143 69: 0.000143143 80: 0.000143143 461: -2.04489e-05 462: -8.47033e-22 463: -2.04489e-05 464: -9.1056e-21 475: -2.04489e-05 476: -8.25857e-21 661: 1.02245e-05
Row 662: 69: 0.00015064 79: 0.00015064 80: 0.00015064 473: -2.15201e-05 474: -1.05879e-21 475: -2.15201e-05 476: -9.74088e-21 517: -2.15201e-05 518: -9.1056e-21 662: 1.076e-05
Row 663: 67: 0.000202633 68: 0.000202633 81: 0.000202633 459: -2.89475e-05 460: -1.33408e-20 465: -2.89475e-05 466: -1.27055e-21 467: -2.89475e-05 468: 1.20702e-20 663: 1.44738e-05
Row 664: 67: 0.000151874 80: 0.000151874 81: 0.000151874 463: -2.16962e-05 464: -8.47033e-22 465: -2.16962e-05 466: -9.74088e-21 523: -2.16962e-05 524: -8.89385e-21 664: 1.08481e-05
Row 665: 64: 0.000170126 65: 0.000170126 82: 0.000170126 445: -2.43037e-05 446: -1.27055e-21 449: -2.43037e-05 450: -1.10114e-20 455: -2.43037e-05 456: -1.00585e-20 665: 1.21518e-05
Row 666: 64: 0.00017185 78: 0.00017185 82: 0.00017185 447: -2.45499e-05 448: -1.10114e-20 449: -2.45499e-05 450: -1.27055e-21 511: -2.45499e-05 512: 1.01644e-20 666: 1.2275e-05
Row 667: 65: 0.000210896 68: 0.000210896 82: 0.000210896 453: -3.0128e-05 454: -1.69407e-21 455: -3.0128e-05 456: -1.35525e-20 469: -3.0128e-05 470: -1.2282e-20 667: 1.5064e-05
Row 668: 58: 0.000167993 75: 0.000167993 83: 0.000167993 415: -2.3999e-05 416: -1.11173e-20 417: -2.3999e-05 418: -1.27055e-21 501: -2.3999e-05 502: 9.95264e-21 668: 1.19995e-05
Row 669: 57: 0.000206676 58: 0.000206676 83: 0.000206676 407: -2.95251e-05 408: -1.33408e-20 411: -2.95251e-05 412: -1.27055e-21 417: -2.95251e-05 418: 1.20702e-20 669: 1.47625e-05
Row 670: 70: 0.000107429 71: 0.000107429 73: 0.000107429 477: -1.53471e-05 478: -4.23516e-22 479: -1.53471e-05 480: -6.67038e-21 483: -1.53471e-05 484: -6.24687e-21 670: 7.67353e-06
Row 671: 74: 0.000158542 75: 0.000158542 83: 0.000158542 495: -2.26489e-05 496: -1.05879e-21 497: -2.26489e-05 498: -1.02703e-20 501: -2.26489e-05 502: -8.89385e-21 671: 1.13244e-05
Row 672: 72: 0.000133129 74: 0.000133129 84: 0.000133129 487: -1.90184e-05 488: -8.47033e-22 491: -1.90184e-05 492: -8.68209e-21 499: -1.90184e-05 500: -7.83505e-21 672: 9.50922e-06
Row 673: 70: 0.000154517 73: 0.000154517 79: 0.000154517 479: -2.20739e-05 480: -8.47033e-22 481: -2.20739e-05 482: -9.95264e-21 493: -2.20739e-05 494: -9.1056e-21 673: 1.10369e-05
Row 674: 68: 0.000207469 81: 0.000207469 82: 0.000207469 467: -2.96384e-05 468: -1.27055e-21 469: -2.96384e-05 470: -1.3129e-20 527: -2.96384e-05 528: -1.20702e-20 674: 1.48192e-05
Row 675: 62: 0.000124146 63: 0.000124146 77: 0.000124146 435: -1.77351e-05 436: -8.04681e-21 439: -1.77351e-05 440: -8.47033e-22 443: -1.77351e-05 444: 7.19978e-21 675: 8.86754e-06
Row 676: 59: 0.000164012 77: 0.000164012 85: 0.000164012 423: -2.34303e-05 424: -1.05879e-21 425: -2.34303e-05 426: -1.05879e-20 509: -2.34303e-05 510: -9.74088e-21 676: 1.17152e-05
Row 677: 62: 0.000163874 77: 0.000163874 78: 0.000163874 439: -2.34106e-05 440: -1.0482e-20 441: -2.34106e-05 442: -1.27055e-21 507: -2.34106e-05 508: 9.1056e-21 677: 1.17053e-05
Row 678: 57: 0.000209174 83: 0.000209174 86: 0.000209174 411: -2.9882e-05 412: -1.3129e-20 413: -2.9882e-05 414: -1.69407e-21 537: -2.9882e-05 538: 1.20702e-20 678: 1.4941e-05
Row 679: 57: 0.000185602 76: 0.000185602 86: 0.000185602 409: -2.65146e-05 410: -8.47033e-22 413: -2.65146e-05 414: -1.20702e-20 505: -2.65146e-05 506: -1.07997e-20 679: 1.32573e-05
Row 680: 74: 0.000161501 83: 0.000161501 84: 0.000161501 497: -2.30715e-05 498: -1.05879e-21 499: -2.30715e-05 500: -1.0482e-20 535: -2.30715e-05 536: -9.52912e-21 680: 1.15358e-05
Row 681: 72: 0.00015546 73: 0.00015546 79: 0.00015546 485: -2.22085e-05 486: -9.95264e-21 489: -2.22085e-05 490: -1.48231e-21 493: -2.22085e-05 494: 9.21148e-21 681: 1.11043e-05
Row 682: 72: 0.000151473 79: 0.000151473 84: 0.000151473 489: -2.1639e-05 490: -9.95264e-21 491: -2.1639e-05 492: -1.27055e-21 519: -2.1639e-05 520: 8.89385e-21 682: 1.08195e-05
Row 683: 59: 0.000157458 76: 0.000157458 85: 0.000157458 421: -2.2494e-05 422: -1.03762e-20 425: -2.2494e-05 426: -1.27055e-21 503: -2.2494e-05 504: 9.1056e-21 683: 1.1247e-05
Row 684: 79: 0.000183121 80: 0.000183121 87: 0.000183121 517: -2.61602e-05 518: -1.20702e-20 521: -2.61602e-05 522: -8.47033e-22 525: -2.61602e-05 526: 1.05879e-20 684: 1.30801e-05
Row 685: 79: 0.000180744 84: 0.000180744 87: 0.000180744 519: -2.58205e-05 520: -1.69407e-21 521: -2.58205e-05 522: -1.14349e-20 541: -2.58205e-05 542: -1.07997e-20 685: 1.29103e-05
Row 686: 77: 0.000178934 78: 0.000178934 85: 0.000178934 507: -2.55619e-05 508: -8.47033e-22 509: -2.55619e-05 510: -1.15408e-20 513: -2.55619e-05 514: -1.05879e-20 686: 1.2781e-05
Row 687: 78: 0.000182938 82: 0.000182938 88: 0.000182938 511: -2.61341e-05 512: -1.27055e-21 515: -2.61341e-05 516: -1.16467e-20 533: -2.61341e-05 534: -1.07997e-20 687: 1.3067e-05
Row 688: 78: 0.000178742 85: 0.000178742 88: 0.000178742 513: -2.55345e-05 514: -1.17526e-20 515: -2.55345e-05 516: -1.27055e-21 545: -2.55345e-05 546: 1.05879e-20 688: 1.27673e-05
Row 689: 81: 0.000183578 82: 0.000183578 88: 0.000183578 527: -2.62255e-05 528: -1.19643e-20 531: -2.62255e-05 532: -1.27055e-21 533: -2.62255e-05 534: 1.10114e-20 689: 1.31127e-05
Row 690: 80: 0.000173874 81: 0.000173874 87: 0.000173874 523: -2.48392e-05 524: -1.11173e-20 525: -2.48392e-05 526: -1.27055e-21 529: -2.48392e-05 530: 9.95264e-21 690: 1.24196e-05
Row 691: 76: 0.00018187 85: 0.00018187 86: 0.00018187 503: -2.59815e-05 504: -8.47033e-22 505: -2.59815e-05 506: -1.16467e-20 543: -2.59815e-05 544: -1.10114e-20 691: 1.29907e-05
Row 692: 83: 0.000193194 84: 0.000193194 87: 0.000193194 535: -2.75991e-05 536: -1.3129e-20 539: -2.75991e-05 540: -1.27055e-21 541: -2.75991e-05 542: 1.18585e-20 692: 1.37995e-05
Row 693: 85: 0.000191798 86: 0.000191798 88: 0.000191798 543: -2.73997e-05 544: -1.2282e-20 545: -2.73997e-05 546: -1.27055e-21 549: -2.73997e-05 550: 1.12232e-20 693: 1.36999e-05
Row 694: 81: 0.000207574 87: 0.000207574 88: 0.000207574 529: -2.96535e-05 530: -1.27055e-21 531: -2.96535e-05 532: -1.3129e-20 551: -2.96535e-05 552: -1.16467e-20 694: 1.48267e-05
Row 695: 83: 0.000236541 86: 0.000236541 87: 0.000236541 537: -3.37915e-05 538: -1.27055e-21 539: -3.37915e-05 540: -1.48231e-20 547: -3.37915e-05 548: -1.43996e-20 695: 1.68958e-05
Row 696: 86: 0.000216946 87: 0.000216946 88: 0.000216946 547: -3.09923e-05 548: -1.3976e-20 549: -3.09923e-05 550: -1.69407e-21 551: -3.09923e-05 552: 1.29173e-20 696: 1.54962e-05
To access the entries we use the vector of nonzero-entries:
[6]:
print(mstar.nze)
print(len(mstar.AsVector()))
11257
11257
[7]:
print(mstar.AsVector())
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Using the vector we can build the linear combination of the a and the m matrix:
[8]:
mstar = m.mat.CreateMatrix()
mstar.AsVector().data = m.mat.AsVector() + dt * a.mat.AsVector()
invmstar = mstar.Inverse(freedofs=fes.FreeDofs())
call pardiso ... done
We set the r.h.s. \(f = exp(-6 ((x+\frac12)^2+y^2)) - exp(-6 ((x-\frac12)^2+y^2))\)
[9]:
f = LinearForm(fes)
gaussp = exp(-6*((x+0.5)*(x+0.5)+y*y))-exp(-6*((x-0.5)*(x-0.5)+y*y))
Draw(gaussp,mesh,"f")
f += gaussp*v*dx
f.Assemble()
[9]:
<ngsolve.comp.LinearForm at 0x7f996ce43470>
assemble VOL element 144/144
and the initial data: \(u_0 = (1-y^2)x\)
[10]:
gfu = GridFunction(fes)
gfu.Set((1-y*y)*x)
Draw(gfu,mesh,"u")
setvalues element 144/144
[11]:
res = gfu.vec.CreateVector()
tstep = 1 # time that we want to step over within one block-run
[12]:
%%time
t_intermediate=0 # time counter within one block-run
while t_intermediate < tstep - 0.5 * dt:
res.data = dt * f.vec - dt * a.mat * gfu.vec
gfu.vec.data += invmstar * res
t_intermediate += dt
print("\r",time+t_intermediate,end="")
Redraw(blocking=False)
print("")
time+=t_intermediate
1.0000000000000007
CPU times: user 601 ms, sys: 149 ms, total: 751 ms
Wall time: 641 ms
Alternative version with iterative solvers¶
For a factorization of \(M^\ast\) (\({M^\ast}^{-1}\)) we require a sparse matrix \(M^\ast\)
To store \(M^\ast\) as a sparse matrix requires new storage (and same memory layout of \(A\) and \(M\))
For iterative solvers we only require the matrix (and preconditioner) applications
mstar = m.mat + dt * a.mathas no storage but matrix-vector multiplications
iterative solver version (with Jacobi preconditining):
[13]:
mstar_alt = m.mat + dt * a.mat
premstar_alt = m.mat.CreateSmoother() # + dt * a.mat.CreateSmoother()
from ngsolve.krylovspace import CGSolver
invmstar_alt = CGSolver(mstar_alt,premstar_alt, printrates='\r',\
tol=1e-8, maxiter=200)
print(premstar_alt)
Print base-matrix
[14]:
%%time
tstep = 0.1
t_intermediate=0 # time counter within one block-run
while t_intermediate < tstep - 0.5 * dt:
res.data = dt * f.vec - dt * a.mat * gfu.vec
gfu.vec.data += invmstar_alt * res
t_intermediate += dt
# print("\r t = {:24}, iteration steps: {}".format(time+t_intermediate,invmstar_alt.GetSteps()), end="")
Redraw(blocking=False)
print("")
time+=t_intermediate
CG converged in 122 iterations to residual 2.7999685685155378e-11
CG converged in 122 iterations to residual 2.7761714010107317e-11
CG converged in 122 iterations to residual 2.755063416220093e-11
CG converged in 122 iterations to residual 2.7348290254175153e-11
CG converged in 122 iterations to residual 2.714723822906971e-11
CG converged in 122 iterations to residual 2.694521532449826e-11
CG converged in 122 iterations to residual 2.6742133192438057e-11
CG converged in 122 iterations to residual 2.6538692909342198e-11
CG converged in 121 iterations to residual 2.9554648888743974e-11
CG converged in 121 iterations to residual 2.925293573284406e-11
CG converged in 121 iterations to residual 2.8962220190567157e-11
CG converged in 121 iterations to residual 2.8682030170730735e-11
CG converged in 121 iterations to residual 2.8411702881476514e-11
CG converged in 121 iterations to residual 2.8150444152640148e-11
CG converged in 121 iterations to residual 2.789738225072416e-11
CG converged in 121 iterations to residual 2.7651614057143295e-11
CG converged in 121 iterations to residual 2.7412242912121726e-11
CG converged in 121 iterations to residual 2.7178408088779236e-11
CG converged in 120 iterations to residual 2.9382152765983853e-11
CG converged in 120 iterations to residual 2.893639016492228e-11
CG converged in 120 iterations to residual 2.8508760258858542e-11
CG converged in 120 iterations to residual 2.8098502882555175e-11
CG converged in 120 iterations to residual 2.770477672258593e-11
CG converged in 120 iterations to residual 2.7326684684123318e-11
CG converged in 120 iterations to residual 2.6963296337955308e-11
CG converged in 120 iterations to residual 2.661366744767725e-11
CG converged in 120 iterations to residual 2.627685662621321e-11
CG converged in 120 iterations to residual 2.5951939220620763e-11
CG converged in 120 iterations to residual 2.5638018570697568e-11
CG converged in 120 iterations to residual 2.533423482683118e-11
CG converged in 119 iterations to residual 2.9014888170122562e-11
CG converged in 119 iterations to residual 2.85501298757892e-11
CG converged in 119 iterations to residual 2.8097709498454996e-11
CG converged in 119 iterations to residual 2.7657374180844618e-11
CG converged in 119 iterations to residual 2.722883197887978e-11
CG converged in 119 iterations to residual 2.6811758665113896e-11
CG converged in 119 iterations to residual 2.6405804590129578e-11
CG converged in 119 iterations to residual 2.6010601317224105e-11
CG converged in 119 iterations to residual 2.562576782218969e-11
CG converged in 119 iterations to residual 2.525091611920007e-11
CG converged in 119 iterations to residual 2.4885656233178144e-11
CG converged in 119 iterations to residual 2.4529600487070524e-11
CG converged in 119 iterations to residual 2.4182367109356218e-11
CG converged in 118 iterations to residual 2.8874108832441813e-11
CG converged in 118 iterations to residual 2.8492274889090035e-11
CG converged in 118 iterations to residual 2.8116850950914957e-11
CG converged in 118 iterations to residual 2.7747568898284886e-11
CG converged in 118 iterations to residual 2.7384185171881665e-11
CG converged in 118 iterations to residual 2.702647742109087e-11
CG converged in 118 iterations to residual 2.6674241514429083e-11
CG converged in 118 iterations to residual 2.6327288888443466e-11
CG converged in 118 iterations to residual 2.5985444210163658e-11
CG converged in 118 iterations to residual 2.564854332781079e-11
CG converged in 117 iterations to residual 2.8695477516216613e-11
CG converged in 117 iterations to residual 2.8295205660096164e-11
CG converged in 117 iterations to residual 2.790529363980071e-11
CG converged in 117 iterations to residual 2.752529010867937e-11
CG converged in 117 iterations to residual 2.7154765603977494e-11
CG converged in 117 iterations to residual 2.6793311707062007e-11
CG converged in 117 iterations to residual 2.644054017156468e-11
CG converged in 117 iterations to residual 2.609608202987715e-11
CG converged in 117 iterations to residual 2.5759586686065432e-11
CG converged in 117 iterations to residual 2.5430721001354068e-11
CG converged in 117 iterations to residual 2.5109168376691164e-11
CG converged in 117 iterations to residual 2.479462783540966e-11
CG converged in 117 iterations to residual 2.4486813107627674e-11
CG converged in 116 iterations to residual 2.8651651265417565e-11
CG converged in 116 iterations to residual 2.8235373872281028e-11
CG converged in 116 iterations to residual 2.7827595517593437e-11
CG converged in 116 iterations to residual 2.7428043422127063e-11
CG converged in 116 iterations to residual 2.7036449441629758e-11
CG converged in 116 iterations to residual 2.6652551427883828e-11
CG converged in 116 iterations to residual 2.6276094588796798e-11
CG converged in 116 iterations to residual 2.5906832859199224e-11
CG converged in 116 iterations to residual 2.554453029691022e-11
CG converged in 116 iterations to residual 2.5188962520436878e-11
CG converged in 116 iterations to residual 2.4839918205121666e-11
CG converged in 116 iterations to residual 2.4497200653016467e-11
CG converged in 116 iterations to residual 2.416062944762178e-11
CG converged in 116 iterations to residual 2.383004219684973e-11
CG converged in 116 iterations to residual 2.3505296355707083e-11
CG converged in 116 iterations to residual 2.318627110304464e-11
CG converged in 115 iterations to residual 2.8590767300175548e-11
CG converged in 115 iterations to residual 2.823396062341169e-11
CG converged in 115 iterations to residual 2.7879066930781012e-11
CG converged in 115 iterations to residual 2.75259650690555e-11
CG converged in 115 iterations to residual 2.7174557861221746e-11
CG converged in 115 iterations to residual 2.6824771776743677e-11
CG converged in 115 iterations to residual 2.647655687926376e-11
CG converged in 115 iterations to residual 2.612988724117456e-11
CG converged in 115 iterations to residual 2.5784762015215903e-11
CG converged in 115 iterations to residual 2.544120732151469e-11
CG converged in 115 iterations to residual 2.5099279037043597e-11
CG converged in 115 iterations to residual 2.4759066460597253e-11
CG converged in 115 iterations to residual 2.442069667526353e-11
CG converged in 115 iterations to residual 2.4084339256484393e-11
CG converged in 115 iterations to residual 2.3750210801319577e-11
CG converged in 115 iterations to residual 2.341857861483651e-11
CG converged in 114 iterations to residual 2.859868047882296e-11
CG converged in 114 iterations to residual 2.8267003991104146e-11
CPU times: user 5.95 s, sys: 1.1 s, total: 7.05 s
Wall time: 5.78 s
Supplementary material:¶
Supplementary 1: time-dependent r.h.s. data¶
Next: time-dependent r.h.s. data \(f=f(t)\):
Use
Parametert representing the time.A
Parameteris a constantCoefficientFunctionthe value of which can be changed with theSet-function.
[15]:
t = Parameter(0.0)
An example of a time-dependent coefficient that we want to use as r.h.s. in the following is
[16]:
omega=1
gausspt = exp(-6*((x+sin(omega*t))*(x+sin(omega*t))+y*y))-exp(-6*((x-sin(omega*t))*(x-sin(omega*t))+y*y))
Draw(gausspt,mesh,"ft",sd=2)
time = 0.0
from time import sleep
while time < 10 - 0.5 * dt:
t.Set(time)
Redraw(blocking=False)
time += 1e-3
sleep(1e-3)
Accordingly we define a different linear form which then has to be assembled in every time step.
[17]:
ft = LinearForm(fes)
ft += gausspt*v*dx
time = 0.0
t.Set(0.0)
gfu.Set((1-y*y)*x)
#gfu.Set(CoefficientFunction(0))
Draw(gfu,mesh,"u")
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[18]:
tstep = 10 # time that we want to step over within one block-run
t_intermediate=0 # time counter within one block-run
res = gfu.vec.CreateVector()
while t_intermediate < tstep - 0.5 * dt:
t.Set(time+t_intermediate+dt)
ft.Assemble()
res.data = dt * ft.vec - dt * a.mat * gfu.vec
gfu.vec.data += invmstar * res
t_intermediate += dt
print("\r",time+t_intermediate,end="")
Redraw(blocking=False)
print("")
time+=t_intermediate
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9.999999999999897
Supplementary 2: Time dependent boundary conditions¶
\(u|_{\partial \Omega} = u_D(t)\), \(f=0\)
implicit Euler time stepping method, non-incremental form:
\[M^\ast u^{n+1} = (M + \Delta t A) u^{n+1} = M u^n\]Homogenize w.r.t. to boundary conditions, i.e. we split
\[u^{n+1} = u^{n+1}_0 + u^{n+1}_D\]where \(u^{n+1}_D\) is a (discrete) function with correct boundary condition:
\[{M^\ast} u^{n+1}_0 = M u^n - {M^\ast} u^{n+1}_D\]
[19]:
uD = CoefficientFunction( [(1-x*x)*IfPos(sin(0.3*pi*t),sin(0.3*pi*t),0),0,0,0])
time = 0.0
t.Set(0.0)
gfu.Set(uD,BND)
Draw(gfu,mesh,"u")
# visualization stuff
from ngsolve.internal import *
visoptions.mminval = 0.0
visoptions.mmaxval = 0.2
visoptions.deformation = 0
visoptions.autoscale = 0
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[20]:
tstep = 2 # time that we want to step over within one block-run
t_intermediate=0 # time counter within one block-run
res = gfu.vec.CreateVector()
while t_intermediate < tstep - 0.5 * dt:
t.Set(time+t_intermediate+dt)
res.data = m.mat * gfu.vec
gfu.Set(uD,BND)
res.data -= mstar * gfu.vec
gfu.vec.data += invmstar * res
t_intermediate += dt
print("\r",time+t_intermediate,end="")
Redraw(blocking=False)
print("")
time+=t_intermediate
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1.9999999999998905
Supplementary 3: Singly diagonally implicit Runge-Kutta methods¶
We consider more sophisticated time integration methods, SDIRK methods. To simplify presentation we set \(f=0\).
SDIRK methods for the semi-discrete problem \(\frac{d}{dt} u = M^{-1} F(u) = -M^{-1} \cdot A u\) are of the form:
\[u^{n+1} = u^n + \Delta t M^{-1} \sum_{i=0}^{s-1} b_i k_i\]
with
\[k_i = - A u_i \quad \text{ where $u_i$ is the solution to } \quad
(M + a_{ii} \Delta t A) u_i = M u^n - \Delta t \sum_{i=0}^{i-1} a_{ij} k_j, \quad i=0,..,s-1.\]
The coefficients a,b and c are stored in the butcher tableau:
\[\begin{split}\begin{array}{c|cccc}
c_0 & a_{00} & 0 & \ddots& \\
c_1 & a_{10} & a_{11} & 0 & \ddots \\
\vdots & \vdots & \vdots & \ddots & 0\\
c_{s-1} & a_{s-1,0} & a_{s-1,1} & \dots& a_{s-1,s-1} \\ \hline
& b_{0} & b_1 & \dots& b_{s-1} \\
\end{array}\end{split}\]
For an SDIRK method we have \(a^\ast = a_{ii},~i=0,..,s-1\).
Simplest example: Implicit Euler
\[\begin{split}\begin{array}{c|c}
1 & 1 \\ \hline
& 1 \\
\end{array}\end{split}\]
[21]:
class sdirk1: #order 1 (implicit Euler)
stages = 1
a = [[1]]
b = [1]
c = [1]
astar = 1
We can use for example the 2 stage SDIRK (order 3) method
\[\begin{split}\begin{array}{c|cc}
p & p & 0 \\
1-p & 1-2p & p \\ \hline
& 1/2 & 1/2 \\
\end{array}\end{split}\]
with \(p = \frac{3 - \sqrt{3}}{6}\).
[22]:
class sdirk2: #order 3
p = (3 - sqrt(3))/6
stages = 2
a = [[p, 0],
[1 - 2*p, p]]
b = [1/2, 1/2]
c = [p, 1 - p]
astar = p
We can use for example the 5 stage SDIRK (order 4) method
\[\begin{split}\begin{array}{c|cccc}
1/4 & 1/4 \\
3/4 & 1/2 & 1/4 & \\
11/20 & 17/50 & -1/25 & 1/4 \\
1/2 & 371/1360 & -137/2720 & 15/544 & 1/4 \\
1 & 25/4 & -49/48 & 125/16 & -85/12 & 1/4 \\ \hline
& 25/4 & -49/48 & 125/16 & -85/12 & 1/4 \\
\end{array}\end{split}\]
[23]:
class sdirk5: #order 4
stages = 5
a = [[1/4, 0, 0, 0, 0],
[1/2, 1/4, 0, 0, 0],
[17/50,-1/25, 1/4, 0, 0],
[371/1360, -137/2720, 15/544, 1/4,0],
[25/24, -49/48, 125/16, -85/12, 1/4]]
b = [25/24, -49/48, 125/16, -85/12, 1/4]
c = [1/4, 3/4, 11/20, 1/2, 1]
astar = 1/4
SDIRK2 :¶
[24]:
butchertab = sdirk2()
rhsi = gfu.vec.CreateVector()
Mu0 = gfu.vec.CreateVector()
ui = gfu.vec.CreateVector()
k = [gfu.vec.CreateVector() for i in range(butchertab.stages)]
We have to update the \(M^\ast\) matrix and reset initial data
[25]:
time = 0.0
t.Set(0.0)
gfu.Set(uD,BND)
Draw(gfu,mesh,"u")
# visualization stuff
from ngsolve.internal import *
visoptions.mminval = 0.0
visoptions.mmaxval = 0.2
visoptions.deformation = 0
visoptions.autoscale = 0
mstar.AsVector().data = m.mat.AsVector() + butchertab.astar * dt * a.mat.AsVector()
invmstar = mstar.Inverse(freedofs=fes.FreeDofs())
invmass = m.mat.Inverse(freedofs=fes.FreeDofs())
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call pardiso ... done
call pardiso ... done
[26]:
tstep = 2 # time that we want to step over within one block-run
t_intermediate=0 # time counter within one block-run
while t_intermediate < tstep - 0.5 * dt:
Mu0.data = m.mat * gfu.vec
for i in range(butchertab.stages):
# add up the ks as prescribed in the butcher tableau
rhsi.data = Mu0
for j in range(0,i):
rhsi.data += dt * butchertab.a[i][j] * k[j]
# Solve for ui (with homogenization for the boundary data)
t.Set(time+t_intermediate+butchertab.c[i]*dt)
gfu.Set(uD,BND)
ui.data = gfu.vec; rhsi.data -= mstar * ui
ui.data += invmstar * rhsi
# compute k[i] from ui
k[i].data = - a.mat * ui
t_intermediate += dt; t.Set(time+t_intermediate)
# Adding up the ks:
gfu.Set(uD,BND)
Mu0.data -= m.mat * gfu.vec
for i in range(0,butchertab.stages):
Mu0.data += dt * butchertab.b[i] * k[i]
gfu.vec.data += invmass * Mu0
print("\r",time+t_intermediate,end="")
Redraw(blocking=True)
print(""); time+=t_intermediate
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1.9999999999998905
Supplementary 4: VTK Output (“exporting the nice pictures”)¶
or
py_tutorials/vtkout.py(ngsolve repository)
Outputting the nice pictures to vtk (to visualize with paraview):
[27]:
vtk = VTKOutput(ma=mesh,coefs=[gfu],
names=["sol"],
filename="vtk_example1",
subdivision=3)
vtk.Do()
[27]:
'vtk_example1'
[28]:
%%bash
ls vtk_example1.vtk
vtk_example1.vtk
You can also export vector fields:
[29]:
vtk = VTKOutput(ma=mesh,coefs=[gfu,grad(gfu)],names=["sol","gradsol"],filename="vtk_example2",subdivision=3)
vtk.Do()
[29]:
'vtk_example2'
[30]:
#%%bash
#paraview vtk_example2.vtk
And time dependent data:
[31]:
vtk = VTKOutput(ma=mesh,coefs=[gfu],names=["sol"],filename="vtk_example3",subdivision=3)
vtk.Do()
gfu.Set((1-y*y)*x)
time = 0
tstep = 1 # time that we want to step over within one block-run
t_intermediate=0 # time counter within one block-run
res = gfu.vec.CreateVector()
i = 0
while t_intermediate < tstep - 0.5 * dt:
res.data = dt * f.vec - dt * a.mat * gfu.vec
gfu.vec.data += invmstar * res
t_intermediate += dt
print("\r",time+t_intermediate,end="")
Redraw(blocking=True)
i += 1
if (i%10 == 0):
vtk.Do()
print("")
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[32]:
#%%bash
#paraview vtk_example3_..vtk
[ ]: