This page was generated from wta/poisson.ipynb.

Poisson EquationΒΆ

Import Netgen/NGSolve Python modules:

[1]:
from ngsolve import *
from ngsolve.webgui import Draw

The unit_square is a predefined domain, use Netgen to generate a mesh:

[2]:
unit_square.GenerateMesh(maxh=0.2)
[2]:
<netgen.libngpy._meshing.Mesh at 0x7fa14411b170>
[3]:
mesh = Mesh(unit_square.GenerateMesh(maxh=0.2))
Draw (mesh);

Define a finite element space on that mesh.

[4]:
fes = H1(mesh, order=3, dirichlet="left|right|bottom|top")
print ("ndof =", fes.ndof)
ndof = 274
[5]:
print (mesh.GetBoundaries())
('bottom', 'right', 'top', 'left')

Define linear and bilinear-forms.

\[a(u,v) = \int \nabla u \nabla v \qquad \text{and} \qquad f(v) = \int f v\]

Forms are expressed in terms of trial and test-functions:

[6]:
u = fes.TrialFunction()
v = fes.TestFunction()

f = LinearForm(fes)
f += 32*(y*(1-y)+x*(1-x))*v*dx

a = BilinearForm(fes)
a += grad(u)*grad(v)*dx

a.Assemble()
f.Assemble();
[7]:
print(f.vec)
print(a.mat)
 0.0196267
 0.0196267
 0.0196267
 0.0309262
 0.159433
 0.219303
 0.181239
 0.137783
 0.215831
 0.164775
 0.143975
 0.119435
 0.172482
 0.170324
 0.181616
 0.0965241
 0.0926509
 0.163062
 0.214707
 0.15821
 0.640245
 0.537739
 0.45428
 0.423631
 0.369049
 0.345279
 0.299249
 0.570043
 0.365346
 0.158316
 0.345473
 0.513418
 0.508978
 0.611025
 0.42921
 0.53896
 0.339249
 0.53602
 -0.00291556
 -0.000294603
 -0.00291556
 -0.000294603
 -0.00291556
 -0.000294603
 -0.00291556
 -0.000294603
 -0.00291556
 -0.000294603
 -0.00291556
 -0.000294603
 -0.00218081
 -0.00019139
 -0.00214635
 -0.00018831
 -0.00485111
 -0.000555929
 -0.00797493
 -0.000179369
 -0.0119854
 6.01459e-07
 -0.0184261
 -0.000948946
 -0.00730748
 -1.50672e-06
 -0.0211592
 -0.00056396
 -0.0201285
 -0.000658461
 -0.0057403
 0.000127886
 -0.0177395
 -0.000594187
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 -0.000386791
 -0.0115799
 -1.49723e-05
 -0.0152841
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 -0.00643943
 -0.000132993
 -0.018645
 -0.00084282
 -0.0169044
 -0.000848585
 -0.00596394
 3.34732e-06
 -0.0155262
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 -0.000425073
 -0.00505713
 0.000117527
 -0.0134259
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 -0.00821953
 8.45401e-09
 -0.0134558
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 -0.00061199
 -0.00554666
 0.000122534
 -0.0181382
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 -0.000512388
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 -0.00519533
 -0.000114924
 -0.00682369
 -0.000167178
 -0.00992054
 -0.000479618
 -0.0071116
 1.01118e-06
 -0.0137294
 -0.000326625
 -0.0159362
 -0.000529867
 -0.00782374
 0.000175699
 -0.0207652
 -0.000554709
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 -0.000635755
 -0.0182523
 -0.000940571
 -0.0262355
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 -0.000470222
 -0.0205229
 0.000189121
 -0.0225815
 -0.000213898
 -0.0258393
 -0.000279159
 -0.0206673
 -0.000114131
 -0.020877
 -0.000388712
 -0.0160607
 3.35409e-06
 -0.019068
 -0.000251155
 -0.0164006
 -0.00019855
 -0.0155068
 0.000155495
 -0.0164542
 -0.000157403
 -0.0155073
 -0.000194783
 -0.0147619
 -6.13857e-05
 -0.0158836
 -0.000312312
 -0.0170684
 -0.000204334
 -0.0163441
 -0.000250524
 -0.0200328
 0.00022798
 -0.0207591
 -7.31147e-05
 -0.0235044
 -0.000143656
 -0.0243899
 -0.00026586
 -0.010324
 0.000282567
 -0.0148458
 1.29848e-05
 -0.0200348
 -0.000348707
 -0.0101993
 -0.000269983
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 -0.000346294
 -0.0257799
 -0.000290632
 -0.0223051
 -0.000195309
 -0.0242436
 -3.34916e-05
 -0.0180437
 1.62786e-05
 -0.0214833
 -7.81969e-05
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 6.43292e-05
 -0.0241573
 -5.53584e-05
 -0.0165186
 -4.90515e-05
 -0.0206129
 -0.000156872
 -0.0244911
 -0.000120965
 -0.0179212
 -8.18057e-05
 0.00130032
 0.00350508
 0.00316128
 0.00489779
 0.0024972
 0.00387941
 0.00130032
 0.00346749
 0.00472624
 0.00284385
 0.00471735
 0.00255386
 0.00326747
 0.00217426
 0.00277584
 0.00130032
 0.00224272
 0.00357743
 0.00315309
 0.00241326
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 0.00102261
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 0.00225469
 0.00168534
 0.00307245
 0.00323759
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 0.00366694
 0.00275651
 0.00287568
 0.00480719
 0.00425734
 0.0055148
 0.00474385
 0.00340822
 0.0029215
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 0.00406673
 0.00234879
 0.00361797
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 0.00358474
 0.003926
 0.00526345
 0.00497881
 0.00306792
 0.00350866
 0.00502183
 0.00312916
 0.00366955
 0.00490625
 0.00346289


Row 0:   0: 1   4: -0.5   19: -0.5   38: -0.0833333   39: -2.65413e-16   40: -0.0833333   41: -3.26128e-16   58: 0.166667   59: -4.51028e-17   220: -5.55112e-17
Row 1:   1: 1   7: -0.5   8: -0.5   42: -0.0833333   43: -3.19189e-16   44: -0.0833333   45: -2.61076e-16   74: 0.166667   75: 4.51028e-17   226: -5.55112e-17
Row 2:   2: 1   11: -0.5   12: -0.5   46: -0.0833333   47: -3.19189e-16   48: -0.0833333   49: -2.61076e-16   96: 0.166667   97: 4.51028e-17   235: -5.55112e-17
Row 3:   3: 0.831314   15: -0.17846   16: -0.173448   29: -0.479406   50: -0.040286   51: -1.26635e-16   52: -0.039615   53: -1.02782e-16   54: -0.0586512   55: -2.60209e-16   120: 0.0700292   121: 2.60209e-18   124: 0.068523   125: -3.1225e-17   241: -1.56125e-17   243: -2.08167e-17
Row 4:   0: -0.5   4: 1.89829   5: -0.540848   19: -0.168769   20: -0.688673   38: 6.245e-17   39: 1.74448e-16   40: 0.0833333   41: 9.36751e-17   56: -0.0562171   57: -2.50668e-16   58: -0.141895   59: -2.32453e-16   60: -0.118269   61: -4.18068e-16   64: 0.146359   65: 5.20417e-18   140: 0.0866899   141: -1.30104e-17   220: -3.46945e-18   221: -3.46945e-17   249: -1.73472e-17
Row 5:   4: -0.540848   5: 1.88645   6: -0.354514   20: -0.188208   21: -0.802875   56: -0.0128244   57: 2.00577e-16   60: 0.102966   61: 7.97973e-17   62: -0.0499561   63: -1.78243e-16   64: -0.173998   65: -2.78423e-16   66: -0.0776293   67: -3.96384e-16   70: 0.109042   71: -1.9082e-17   142: 0.1024   143: -5.55112e-17   221: -1.38778e-17   222: -3.1225e-17   223: -1.04083e-17
Row 6:   5: -0.354514   6: 1.74447   7: -0.307659   21: -0.489892   22: -0.592403   62: -0.0366167   63: 1.63498e-16   66: 0.0957024   67: 3.46945e-18   68: -0.0414522   69: -1.52656e-16   70: -0.116367   71: -3.46511e-16   72: -0.0963085   73: -3.32633e-16   76: 0.0927287   77: -1.38778e-17   148: 0.102314   149: 1.56125e-17   222: -2.42861e-17   224: -3.1225e-17   225: -2.42861e-17
Row 7:   1: -0.5   6: -0.307659   7: 1.90404   8: -0.20374   22: -0.892641   42: -7.63278e-17   43: 2.27249e-16   44: 0.0833333   45: 8.84709e-17   68: -0.051968   69: 1.62197e-16   72: 0.103244   73: -3.1225e-17   74: -0.180139   75: -3.11383e-16   76: -0.0852332   77: -5.07407e-16   80: 0.130762   81: -1.21431e-16   224: -3.81639e-17   226: 5.20417e-17   227: -6.93889e-17
Row 8:   1: -0.5   7: -0.20374   8: 1.79311   9: -0.389613   22: -0.247724   23: -0.452028   42: 0.0833333   43: 9.02056e-17   44: 0   45: 1.72605e-16   74: -0.111302   75: 1.91036e-16   76: 0.0619254   77: -1.04083e-17   78: -0.0211183   79: -1.61112e-16   80: -0.0881764   81: -2.13371e-16   82: -0.078254   83: -2.64762e-16   86: 0.0860538   87: 3.81639e-17   154: 0.0675384   155: -3.20924e-17   226: 3.46945e-18   227: -2.25514e-17   229: -1.38778e-17   258: -5.20417e-18
Row 9:   8: -0.389613   9: 1.76257   10: -0.271361   23: -0.692568   24: -0.409029   78: -0.0647632   79: 2.05565e-16   82: 0.129699   83: -3.46945e-17   84: -0.03061   85: -1.21864e-16   86: -0.102497   87: -4.3715e-16   88: -0.0958916   89: -2.68015e-16   92: 0.0758369   93: -3.46945e-18   158: 0.0882263   159: 4.51028e-17   229: -4.68375e-17   231: -1.73472e-17   232: -3.1225e-17
Row 10:   9: -0.271361   10: 1.78763   11: -0.270137   24: -0.87395   25: -0.372178   84: -0.0733159   85: 1.63064e-16   88: 0.118543   89: -7.28584e-17   90: -0.031622   91: -1.26201e-16   92: -0.0756344   93: -4.97866e-16   94: -0.117365   95: -2.8276e-16   98: 0.0766449   99: -3.46945e-18   164: 0.10275   165: 8.67362e-17   231: -4.33681e-17   233: -1.73472e-17   234: -4.16334e-17
Row 11:   2: -0.5   10: -0.270137   11: 1.98752   12: -0.108449   25: -1.10893   46: -7.63278e-17   47: 2.27249e-16   48: 0.0833333   49: 8.84709e-17   90: -0.07203   91: 1.68268e-16   94: 0.117053   95: -7.28584e-17   96: -0.196125   97: -2.94903e-16   98: -0.0630977   99: -5.88071e-16   102: 0.130867   103: -1.66533e-16   233: -4.59702e-17   235: 5.20417e-17   250: -6.93889e-17
Row 12:   2: -0.5   11: -0.108449   12: 1.81026   13: -0.251506   25: -0.253079   26: -0.697226   46: 0.0833333   47: 9.02056e-17   48: 0   49: 1.72605e-16   96: -0.12082   97: 1.68268e-16   98: 0.0555613   99: -3.98986e-17   100: -0.0431575   101: -1.3314e-16   102: -0.0911215   103: -2.22912e-16   104: -0.046611   105: -3.14635e-16   108: 0.0850753   109: -2.77556e-17   170: 0.07774   171: -6.67869e-17   235: 3.46945e-18   236: -2.42861e-17   250: -2.51535e-17   251: -6.93889e-18
Row 13:   12: -0.251506   13: 1.80179   14: -0.417484   26: -0.798894   27: -0.333901   100: -0.0603628   101: 1.55691e-16   104: 0.10228   105: -5.55112e-17   106: -0.0389519   107: -1.97758e-16   108: -0.058616   109: -4.28477e-16   110: -0.142367   111: -2.97505e-16   114: 0.108533   115: 1.56125e-17   174: 0.0894845   175: 1.02349e-16   236: -4.42354e-17   237: -2.08167e-17   238: -4.51028e-17
Row 14:   13: -0.417484   14: 1.76811   15: -0.286119   27: -0.397757   28: -0.666748   106: -0.0390126   107: 1.92771e-16   110: 0.108593   111: 1.04083e-17   112: -0.0488037   113: -1.49186e-16   114: -0.131902   115: -3.31332e-16   116: -0.0749666   117: -3.4998e-16   118: 0.0964902   119: -2.94903e-17   178: 0.0896011   179: -1.9082e-17   237: -2.77556e-17   239: -2.42861e-17   240: -2.08167e-17
Row 15:   3: -0.17846   14: -0.286119   15: 1.82432   28: -0.407682   29: -0.952064   50: -0.0820544   51: 2.21177e-16   54: 0.111798   55: -5.89806e-17   112: -0.0478511   113: 1.44849e-16   116: 0.0955376   117: -2.42861e-17   118: -0.124309   119: -3.20056e-16   120: -0.0498391   121: -4.62087e-16   186: 0.0967187   187: -4.68375e-17   239: -2.60209e-17   241: 7.63278e-17   242: -1.73472e-17
Row 16:   3: -0.173448   16: 1.8265   17: -0.252776   29: -0.969793   30: -0.430482   52: -0.0846322   53: 1.53523e-16   54: 0.11354   55: -1.07553e-16   122: -0.0478231   123: -1.40513e-16   124: -0.0528319   125: -4.996e-16   126: -0.119129   127: -3.16587e-16   130: 0.0899525   131: -3.46945e-17   192: 0.100924   193: 1.00614e-16   243: -5.07407e-17   244: -3.81639e-17   245: -4.85723e-17
Row 17:   16: -0.252776   17: 1.75225   18: -0.338143   30: -0.71401   31: -0.447317   122: -0.0548032   123: 1.48319e-16   126: 0.0969326   127: -4.51028e-17   128: -0.039654   129: -1.58727e-16   130: -0.0770282   131: -4.0766e-16   132: -0.120556   133: -3.16587e-16   138: 0.0960112   139: -8.67362e-18   194: 0.0990973   195: 6.59195e-17   244: -3.20924e-17   246: -2.08167e-17   247: -3.81639e-17
Row 18:   17: -0.338143   18: 1.87019   19: -0.523655   20: -0.213918   31: -0.794476   128: -0.0490532   129: 1.68268e-16   132: 0.10541   133: -2.08167e-17   134: -0.014548   135: -1.9906e-16   136: -0.170635   137: -2.6975e-16   138: -0.0774621   139: -4.49293e-16   140: 0.101824   141: 7.02563e-17   144: 0.104464   145: -1.17961e-16   246: -2.77556e-17   248: 0   252: -4.85723e-17
Row 19:   0: -0.5   4: -0.168769   18: -0.523655   19: 1.89344   20: -0.701018   38: 0.0833333   39: 8.84709e-17   40: -2.08167e-17   41: 2.34188e-16   58: -0.144439   59: 3.24393e-16   60: 0.0892334   61: -3.03577e-17   134: -0.055731   135: 2.40259e-16   136: 0.143007   137: 0   140: -0.115404   141: -4.65773e-16   220: 5.89806e-17   248: -3.81639e-17   249: 5.37764e-17
Row 20:   4: -0.688673   5: -0.188208   18: -0.213918   19: -0.701018   20: 3.49193   21: -0.526678   31: -0.482287   33: -0.691148   56: 0.0690415   57: 4.94396e-17   58: 0.119667   59: -4.16334e-17   60: -0.0739297   61: 3.64726e-16   64: -0.108848   65: 2.71484e-16   66: 0.0711749   67: -4.33681e-17   134: 0.0702791   135: -4.68375e-17   136: -0.105367   137: 2.31152e-16   138: 0.0707404   139: -6.245e-17   140: -0.0731098   141: 4.14599e-16   142: -0.0775275   143: -3.17454e-16   144: -0.0773124   145: -3.05311e-16   146: -0.0658942   147: -3.59521e-16   152: 0.0941323   153: -6.07153e-17   198: 0.0869532   199: -9.54098e-18   221: 4.51028e-17   223: 4.33681e-17   248: 4.0766e-17   249: -4.16334e-17   252: -3.33934e-17   254: -3.46945e-17   265: -1.38778e-17
Row 21:   5: -0.802875   6: -0.489892   20: -0.526678   21: 3.54814   22: -0.455722   32: -0.781753   33: -0.491222   62: 0.0865728   63: 1.47451e-17   64: 0.136488   65: 6.93889e-18   66: -0.0892479   67: 4.35849e-16   70: -0.0926185   71: 3.80772e-16   72: 0.0876944   73: 0   142: -0.135605   143: 3.6169e-16   146: 0.0868975   147: -4.68375e-17   148: -0.109228   149: -3.33934e-16   150: -0.0634125   151: -3.92915e-16   152: -0.101245   153: -3.33067e-16   156: 0.0974871   157: -6.59195e-17   202: 0.0962176   203: 1.9082e-17   222: 5.89806e-17   223: -3.46945e-17   225: 5.37764e-17   253: -4.16334e-17   254: -2.94903e-17   255: -1.04083e-17
Row 22:   6: -0.592403   7: -0.892641   8: -0.247724   21: -0.455722   22: 3.65035   23: -0.897438   32: -0.56442   68: 0.0934201   69: -1.21431e-17   70: 0.099944   71: -6.93889e-18   72: -0.0946304   73: 3.66027e-16   74: 0.124774   75: 7.28584e-17   76: -0.0694209   77: 5.3603e-16   80: -0.188936   81: 4.21538e-16   82: 0.105449   83: -9.36751e-17   148: -0.106594   149: 3.10949e-16   150: 0.0826032   151: -4.51028e-17   154: -0.0580765   155: -4.36283e-16   156: -0.0907341   157: -3.56486e-16   160: 0.102201   161: -1.21431e-17   224: 6.59195e-17   225: -3.98986e-17   227: 8.67362e-17   253: -3.64292e-17   258: 6.85216e-17   259: -2.77556e-17
Row 23:   8: -0.452028   9: -0.692568   22: -0.897438   23: 3.58584   24: -0.546045   32: -0.391235   36: -0.606525   78: 0.0858815   79: -4.68375e-17   80: 0.14635   81: -8.67362e-17   82: -0.156893   83: 3.85542e-16   86: -0.07826   87: 4.47559e-16   88: 0.107807   89: -6.93889e-18   154: -0.0970122   155: 4.77049e-16   156: 0.100235   157: -1.04083e-17   158: -0.0961596   159: -3.67328e-16   160: -0.113036   161: -2.9924e-16   162: -0.0562792   163: -3.07046e-16   168: 0.0793605   169: -3.98986e-17   204: 0.0780061   205: -2.25514e-17   229: 5.72459e-17   232: 6.93889e-17   258: -6.41848e-17   259: -3.29597e-17   267: -2.77556e-17   268: -1.38778e-17
Row 24:   9: -0.409029   10: -0.87395   23: -0.546045   24: 3.5706   25: -0.544913   34: -0.374111   36: -0.822549   84: 0.103926   85: -4.33681e-17   86: 0.0947032   87: -5.0307e-17   88: -0.130458   89: 3.42608e-16   92: -0.0767869   93: 5.3603e-16   94: 0.118519   95: 3.29597e-17   158: -0.105652   159: 3.54751e-16   162: 0.101957   163: -7.11237e-17   164: -0.112246   165: -3.88144e-16   166: -0.113643   167: -2.88831e-16   168: -0.056314   169: -4.38885e-16   172: 0.0845456   173: -1.9082e-17   212: 0.091449   213: -9.02056e-17   231: 6.07153e-17   232: -3.55618e-17   234: 6.93889e-17   256: -2.77556e-17   267: -4.55365e-17   270: -4.16334e-17
Row 25:   10: -0.372178   11: -1.10893   12: -0.253079   24: -0.544913   25: 3.71425   26: -0.776042   34: -0.659104   90: 0.103652   91: -4.59702e-17   92: 0.0765845   93: -3.98986e-17   94: -0.118207   95: 3.19189e-16   96: 0.150279   97: 7.97973e-17   98: -0.0691085   99: 6.29705e-16   102: -0.197711   103: 4.42354e-16   104: 0.0896124   105: -8.23994e-17   164: -0.0914761   165: 3.17021e-16   166: 0.10571   167: -4.85723e-17   170: -0.0534755   171: -3.8294e-16   172: -0.0890633   173: -3.95517e-16   176: 0.0932034   177: -3.29597e-17   233: 6.245e-17   234: -2.60209e-17   250: 1.00614e-16   251: 5.81132e-17   256: -3.64292e-17   257: -2.77556e-17
Row 26:   12: -0.697226   13: -0.798894   25: -0.776042   26: 3.68738   27: -0.711151   34: -0.704067   100: 0.10352   101: -1.9082e-17   102: 0.157966   103: -6.59195e-17   104: -0.145282   105: 4.55365e-16   108: -0.10718   109: 5.52509e-16   110: 0.136809   111: 1.04083e-17   170: -0.124305   171: 4.55365e-16   172: 0.0956799   173: -4.16334e-17   174: -0.138872   175: -4.81386e-16   176: -0.0989237   177: -4.25007e-16   180: 0.120588   181: -5.20417e-17   236: 6.76542e-17   238: 9.02056e-17   251: -5.89806e-17   257: -3.1225e-17   263: -4.85723e-17
Row 27:   13: -0.333901   14: -0.397757   26: -0.711151   27: 3.43912   28: -0.688614   34: -0.446754   35: -0.481784   37: -0.379158   106: 0.0779646   107: 0   108: 0.080721   109: -9.02056e-17   110: -0.103035   111: 2.77122e-16   114: -0.0974815   115: 3.46945e-16   116: 0.0858098   117: -3.29597e-17   174: -0.0444174   175: 3.39572e-16   176: 0.0822215   177: 1.38778e-17   178: -0.0642451   179: -3.50414e-16   180: -0.0838915   181: -2.94252e-16   182: -0.0900435   183: -2.95337e-16   184: -0.0900722   185: -2.46331e-16   190: 0.0932045   191: 0   214: 0.0761289   215: 4.68375e-17   216: 0.0771363   217: -9.54098e-18   228: -3.46945e-17   237: 5.20417e-17   238: -4.64039e-17   240: 6.07153e-17   262: -1.73472e-17   263: -1.9082e-17   269: -2.08167e-17
Row 28:   14: -0.666748   15: -0.407682   27: -0.688614   28: 3.51458   29: -0.681592   30: -0.520895   35: -0.549052   112: 0.0966549   113: 5.20417e-18   114: 0.120851   115: -3.1225e-17   116: -0.106381   117: 4.14165e-16   118: -0.104684   119: 3.60389e-16   120: 0.0759759   121: -3.72966e-17   178: -0.114524   179: 3.89445e-16   182: 0.108442   183: -2.08167e-17   186: -0.053174   187: -3.50414e-16   188: -0.0970242   189: -3.08781e-16   190: -0.109977   191: -3.66027e-16   192: 0.0907968   193: 6.93889e-18   196: 0.0930433   197: -1.04083e-17   239: 6.07153e-17   240: -3.1225e-17   242: 4.85723e-17   260: -2.08167e-17   261: -2.08167e-17   262: -3.81639e-17
Row 29:   3: -0.479406   15: -0.952064   16: -0.969793   28: -0.681592   29: 3.71893   30: -0.636072   50: 0.12234   51: -9.36751e-17   52: 0.124247   53: -5.29091e-17   54: -0.166687   55: 4.28477e-16   118: 0.132503   119: -1.38778e-17   120: -0.0961661   121: 4.95264e-16   124: -0.0901711   125: 5.86337e-16   126: 0.127556   127: 2.94903e-17   186: -0.132079   187: 4.17635e-16   188: 0.113174   189: -2.77556e-17   192: -0.134718   193: -4.7358e-16   241: -5.89806e-17   242: -3.98986e-17   243: 7.80626e-17   245: 7.97973e-17   260: -3.46945e-17
Row 30:   16: -0.430482   17: -0.71401   28: -0.520895   29: -0.636072   30: 3.50313   31: -0.557898   35: -0.643775   122: 0.102626   123: -4.33681e-18   124: 0.0744799   125: -5.72459e-17   126: -0.105359   127: 3.30465e-16   130: -0.0952916   131: 4.83554e-16   132: 0.111667   133: 1.9082e-17   186: 0.0885341   187: -2.1684e-17   188: -0.107391   189: 3.53233e-16   190: 0.105673   191: -2.77556e-17   192: -0.0570021   193: 3.71231e-16   194: -0.119559   195: -3.97252e-16   196: -0.0992521   197: -4.05925e-16   200: 0.100875   201: -4.51028e-17   244: 7.28584e-17   245: -3.38271e-17   247: 5.89806e-17   260: 5.20417e-17   261: -2.77556e-17   264: -3.46945e-17
Row 31:   17: -0.447317   18: -0.794476   20: -0.482287   30: -0.557898   31: 3.52545   33: -0.639524   35: -0.603946   128: 0.0887072   129: -1.04083e-17   130: 0.0823673   131: -3.81639e-17   132: -0.0965217   133: 3.17454e-16   136: 0.132995   137: 3.81639e-17   138: -0.0892895   139: 5.17815e-16   144: -0.143349   145: 4.64039e-16   146: 0.0907355   147: -2.68882e-17   194: -0.0787626   195: 3.16587e-16   196: 0.0893782   197: -2.25514e-17   198: -0.0875396   199: -3.76435e-16   200: -0.0921121   201: -3.80772e-16   208: 0.103391   209: -4.16334e-17   246: 4.85723e-17   247: -2.25514e-17   252: 7.97973e-17   264: -2.25514e-17   265: 5.55112e-17   266: -3.81639e-17
Row 32:   21: -0.781753   22: -0.56442   23: -0.391235   32: 3.56434   33: -0.5832   36: -0.866831   37: -0.376902   148: 0.113508   149: 1.47451e-17   150: -0.100795   151: 4.55799e-16   152: 0.117579   153: -1.04083e-17   154: 0.0875503   155: 8.67362e-19   156: -0.106988   157: 4.29344e-16   160: -0.117809   161: 3.747e-16   162: 0.0954644   163: -5.55112e-17   202: -0.109837   203: -3.86843e-16   204: -0.0414894   205: -4.06576e-16   206: -0.117138   207: -2.73653e-16   210: 0.0894585   211: 2.94903e-17   218: 0.0904968   219: 4.51028e-17   253: 7.63278e-17   255: -3.64292e-17   259: 5.55112e-17   268: 6.07153e-17   271: -1.38778e-17   272: -2.77556e-17
Row 33:   20: -0.691148   21: -0.491222   31: -0.639524   32: -0.5832   33: 3.4985   35: -0.434135   37: -0.659269   142: 0.110733   143: 8.67362e-18   144: 0.116197   145: -4.16334e-17   146: -0.111739   147: 4.32814e-16   150: 0.081604   151: -2.60209e-17   152: -0.110466   153: 4.07226e-16   198: -0.0977775   199: 3.62557e-16   200: 0.0881677   201: -1.56125e-17   202: -0.0853952   203: 4.10262e-16   206: 0.100991   207: -1.21431e-17   208: -0.101202   209: -2.96638e-16   210: -0.0765031   211: -3.70797e-16   216: 0.0853902   217: -7.80626e-18   230: -1.73472e-17   254: 6.59195e-17   255: 5.37764e-17   265: -3.81639e-17   266: -2.77556e-17   272: 5.89806e-17
Row 34:   24: -0.374111   25: -0.659104   26: -0.704067   27: -0.446754   34: 3.54115   36: -0.686395   37: -0.670721   164: 0.100972   165: -1.73472e-17   166: -0.120069   167: 3.27429e-16   168: 0.0814484   169: -7.63278e-17   170: 0.100041   171: -8.67362e-19   172: -0.0911622   173: 4.46258e-16   174: 0.093805   175: 3.72966e-17   176: -0.0765012   177: 4.45824e-16   180: -0.139262   181: 4.31946e-16   184: 0.119916   185: -2.94903e-17   212: -0.0610592   213: -3.79037e-16   214: -0.102139   215: -4.16767e-16   218: 0.0940099   219: 5.20417e-17   228: 7.28584e-17   256: 7.28584e-17   257: 6.07153e-17   263: 6.93889e-17   270: -3.85976e-17   273: -3.46945e-17
Row 35:   27: -0.481784   28: -0.549052   30: -0.643775   31: -0.603946   33: -0.434135   35: 3.50876   37: -0.796067   178: 0.089168   179: -1.73472e-17   182: -0.123241   183: 3.52149e-16   184: 0.114371   185: -7.28584e-17   188: 0.0912412   189: -2.08167e-17   190: -0.0889005   191: 3.97685e-16   194: 0.0992241   195: 1.21431e-17   196: -0.0831694   197: 4.34982e-16   198: 0.0983639   199: 1.38778e-17   200: -0.0969304   201: 4.35416e-16   208: -0.118433   209: 3.79037e-16   210: 0.0924253   211: -3.55618e-17   216: -0.0741181   217: -4.61436e-16   230: 5.55112e-17   261: 5.20417e-17   262: 5.89806e-17   264: 6.59195e-17   266: 6.59195e-17   269: -3.81639e-17
Row 36:   23: -0.606525   24: -0.822549   32: -0.866831   34: -0.686395   36: 3.65909   37: -0.67679   158: 0.113586   159: -1.73472e-17   160: 0.128644   161: -5.55112e-17   162: -0.141142   163: 4.29778e-16   166: 0.128001   167: 1.38778e-17   168: -0.104495   169: 5.52943e-16   204: -0.117275   205: 4.77049e-16   206: 0.133103   207: -2.42861e-17   212: -0.120117   213: 5.12611e-16   214: 0.106515   215: 7.80626e-18   218: -0.12682   219: -4.77049e-16   267: 7.28584e-17   268: -4.16334e-17   270: 7.63278e-17   271: -3.81639e-17   273: 6.93889e-17
Row 37:   27: -0.379158   32: -0.376902   33: -0.659269   34: -0.670721   35: -0.796067   36: -0.67679   37: 3.55891   180: 0.102565   181: -9.02056e-17   182: 0.104842   183: -4.25007e-17   184: -0.144214   185: 3.49547e-16   202: 0.099015   203: -4.16334e-17   204: 0.080758   205: -4.68375e-17   206: -0.116956   207: 3.10516e-16   208: 0.116244   209: -4.51028e-17   210: -0.105381   211: 3.79037e-16   212: 0.0897272   213: -4.16334e-17   214: -0.0805053   215: 3.64292e-16   216: -0.0884084   217: 4.83988e-16   218: -0.0576867   219: 3.90313e-16   228: -3.85976e-17   230: -3.29597e-17   269: 6.245e-17   271: 5.29091e-17   272: -3.46945e-17   273: -3.46945e-17
Row 38:   0: -0.0833333   4: 6.245e-17   19: 0.0833333   38: 0.0416667   39: 0.00416667   40: 3.46945e-18   41: 0.00416667   58: -0.0208333   59: 0.00833333   220: -0.00833333
Row 39:   0: -2.65413e-16   4: 1.74448e-16   19: 8.84709e-17   38: 0.00416667   39: 0.0138889   40: 0.00416667   41: -1.88109e-17   58: -0.00416667   59: 0.00277778   220: -0.00277778
Row 40:   0: -0.0833333   4: 0.0833333   19: -2.08167e-17   38: 3.46945e-18   39: 0.00416667   40: 0.0416667   41: 0.00416667   58: -0.0208333   59: -0.00833333   220: -0.00833333
Row 41:   0: -3.26128e-16   4: 9.36751e-17   19: 2.34188e-16   38: 0.00416667   39: -1.88109e-17   40: 0.00416667   41: 0.0138889   58: -0.00416667   59: -0.00277778   220: -0.00277778
Row 42:   1: -0.0833333   7: -7.63278e-17   8: 0.0833333   42: 0.0416667   43: 0.00416667   44: -1.21431e-17   45: 0.00416667   74: -0.0208333   75: 0.00833333   226: -0.00833333
Row 43:   1: -3.19189e-16   7: 2.27249e-16   8: 9.02056e-17   42: 0.00416667   43: 0.0138889   44: 0.00416667   45: -2.06676e-17   74: -0.00416667   75: 0.00277778   226: -0.00277778
Row 44:   1: -0.0833333   7: 0.0833333   8: 0   42: -1.21431e-17   43: 0.00416667   44: 0.0416667   45: 0.00416667   74: -0.0208333   75: -0.00833333   226: -0.00833333
Row 45:   1: -2.61076e-16   7: 8.84709e-17   8: 1.72605e-16   42: 0.00416667   43: -2.06676e-17   44: 0.00416667   45: 0.0138889   74: -0.00416667   75: -0.00277778   226: -0.00277778
Row 46:   2: -0.0833333   11: -7.63278e-17   12: 0.0833333   46: 0.0416667   47: 0.00416667   48: -1.21431e-17   49: 0.00416667   96: -0.0208333   97: 0.00833333   235: -0.00833333
Row 47:   2: -3.19189e-16   11: 2.27249e-16   12: 9.02056e-17   46: 0.00416667   47: 0.0138889   48: 0.00416667   49: -2.05592e-17   96: -0.00416667   97: 0.00277778   235: -0.00277778
Row 48:   2: -0.0833333   11: 0.0833333   12: 0   46: -1.21431e-17   47: 0.00416667   48: 0.0416667   49: 0.00416667   96: -0.0208333   97: -0.00833333   235: -0.00833333
Row 49:   2: -2.61076e-16   11: 8.84709e-17   12: 1.72605e-16   46: 0.00416667   47: -2.05592e-17   48: 0.00416667   49: 0.0138889   96: -0.00416667   97: -0.00277778   235: -0.00277778
Row 50:   3: -0.040286   15: -0.0820544   29: 0.12234   50: 0.0380209   51: -0.00208842   54: -0.0205136   55: 0.00558988   120: -0.0100715   121: 0.00350146   241: -0.00297433
Row 51:   3: -1.26635e-16   15: 2.21177e-16   29: -9.36751e-17   50: -0.00208842   51: 0.0111304   54: 0.00611702   55: -0.00273515   120: -0.00611702   121: 0.00134287   241: 0.00139228
Row 52:   3: -0.039615   16: -0.0846322   29: 0.124247   52: 0.0382888   53: -0.00225086   54: -0.0211581   55: 0.00567701   124: -0.00990376   125: 0.00342615   243: -0.0028908
Row 53:   3: -1.02782e-16   16: 1.53523e-16   29: -5.29091e-17   52: -0.00225086   53: 0.0111739   54: 0.00621236   55: -0.00282107   124: -0.00621236   125: 0.0013205   243: 0.00150057
Row 54:   3: -0.0586512   15: 0.111798   16: 0.11354   29: -0.166687   50: -0.0205136   51: 0.00611702   52: -0.0211581   53: 0.00621236   54: 0.0763097   55: -0.00540177   120: -0.00743582   121: -0.00350146   124: -0.007227   125: -0.00342615   241: -0.0040286   243: -0.0039615
Row 55:   3: -2.60209e-16   15: -5.89806e-17   16: -1.07553e-16   29: 4.28477e-16   50: 0.00558988   51: -0.00273515   52: 0.00567701   53: -0.00282107   54: -0.00540177   55: 0.0230126   120: -0.00558988   121: -0.000991442   124: -0.00567701   125: -0.0009636   241: 0.0017437   243: 0.00185747
Row 56:   4: -0.0562171   5: -0.0128244   20: 0.0690415   56: 0.0397957   57: 0.00216964   60: -0.00320609   61: 0.00514829   64: -0.0140543   65: 0.00731793   221: -0.00901414
Row 57:   4: -2.50668e-16   5: 2.00577e-16   20: 4.94396e-17   56: 0.00216964   57: 0.0136169   60: 0.00345207   61: -0.000427479   64: -0.00345207   65: 0.0018739   221: -0.00144642
Row 58:   0: 0.166667   4: -0.141895   19: -0.144439   20: 0.119667   38: -0.0208333   39: -0.00416667   40: -0.0208333   41: -0.00416667   58: 0.0786155   59: -0.000127177   60: -0.0152763   61: 0.00446167   140: -0.0146404   141: 0.00433449   220: -1.21431e-17   249: -0.00281281
Row 59:   0: -4.51028e-17   4: -2.32453e-16   19: 3.24393e-16   20: -4.16334e-17   38: 0.00833333   39: 0.00277778   40: -0.00833333   41: -0.00277778   58: -0.000127177   59: 0.0219017   60: 0.00598335   61: -0.00203684   140: -0.00598335   141: 0.00195206   220: 3.03577e-18   249: 8.47844e-05
Row 60:   4: -0.118269   5: 0.102966   19: 0.0892334   20: -0.0739297   56: -0.00320609   57: 0.00345207   58: -0.0152763   59: 0.00598335   60: 0.0767445   61: 0.00221699   64: -0.0225353   65: -0.00731793   140: -0.00703203   141: -0.00433449   221: -0.00562171   249: -0.00585618
Row 61:   4: -4.18068e-16   5: 7.97973e-17   19: -3.03577e-17   20: 3.64726e-16   56: 0.00514829   57: -0.000427479   58: 0.00446167   59: -0.00203684   60: 0.00221699   61: 0.0242912   64: -0.00514829   65: -0.00300471   140: -0.00446167   141: -0.000937603   221: -0.00257723   249: 0.00109924
Row 62:   5: -0.0499561   6: -0.0366167   21: 0.0865728   62: 0.0364146   63: 0.000666971   66: -0.00915418   67: 0.00478512   70: -0.012489   71: 0.00545209   222: -0.00590857
Row 63:   5: -1.78243e-16   6: 1.63498e-16   21: 1.47451e-17   62: 0.000666971   63: 0.0116801   66: 0.00432864   67: -0.00122056   70: -0.00432864   71: 0.0016652   222: -0.000444647
Row 64:   4: 0.146359   5: -0.173998   20: -0.108848   21: 0.136488   56: -0.0140543   57: -0.00345207   60: -0.0225353   61: -0.00514829   64: 0.0785535   65: 0.00325747   66: -0.0131578   67: 0.00355874   142: -0.0209641   143: 0.00512   221: -0.00128244   223: -0.00185436
Row 65:   4: 5.20417e-18   5: -2.78423e-16   20: 2.71484e-16   21: 6.93889e-18   56: 0.00731793   57: 0.0018739   60: -0.00731793   61: -0.00300471   64: 0.00325747   65: 0.0219932   66: 0.00682438   67: -0.00175437   142: -0.00682438   143: 0.00279521   221: -0.00113081   223: -0.00104084
Row 66:   5: -0.0776293   6: 0.0957024   20: 0.0711749   21: -0.0892479   62: -0.00915418   63: 0.00432864   64: -0.0131578   65: 0.00682438   66: 0.0751725   67: -0.000580931   70: -0.0147714   71: -0.00545209   142: -0.00463591   143: -0.00512   222: -0.00499561   223: -0.00838564
Row 67:   5: -3.96384e-16   6: 3.46945e-18   20: -4.33681e-17   21: 4.35849e-16   62: 0.00478512   63: -0.00122056   64: 0.00355874   65: -0.00175437   66: -0.000580931   67: 0.0245064   70: -0.00478512   71: -0.00196952   142: -0.00355874   143: -0.000618121   222: -0.000748966   223: 0.00113625
Row 68:   6: -0.0414522   7: -0.051968   22: 0.0934201   68: 0.0361742   69: -0.00052579   72: -0.012992   73: 0.00516222   76: -0.010363   77: 0.00463643   224: -0.00512765
Row 69:   6: -1.52656e-16   7: 1.62197e-16   22: -1.21431e-17   68: -0.00052579   69: 0.0113557   72: 0.00467101   73: -0.00173227   76: -0.00467101   77: 0.00138174   224: 0.000350526
Row 70:   5: 0.109042   6: -0.116367   21: -0.0926185   22: 0.099944   62: -0.012489   63: -0.00432864   66: -0.0147714   67: -0.00478512   70: 0.0726586   71: 0.00118744   72: -0.0106656   73: 0.00438472   148: -0.0143204   149: 0.00511568   222: -0.00366167   225: -0.0045032
Row 71:   5: -1.9082e-17   6: -3.46511e-16   21: 3.80772e-16   22: -6.93889e-18   62: 0.00545209   63: 0.0016652   66: -0.00545209   67: -0.00196952   70: 0.00118744   71: 0.0220973   72: 0.0049972   73: -0.00142208   148: -0.0049972   149: 0.00190939   222: -0.000304319   225: -0.000487306
Row 72:   6: -0.0963085   7: 0.103244   21: 0.0876944   22: -0.0946304   68: -0.012992   69: 0.00467101   70: -0.0106656   71: 0.0049972   72: 0.0724182   73: 8.39062e-05   76: -0.0128191   77: -0.00463643   148: -0.011258   149: -0.00511568   224: -0.00414522   225: -0.00572816
Row 73:   6: -3.32633e-16   7: -3.1225e-17   21: 0   22: 3.66027e-16   68: 0.00516222   69: -0.00173227   70: 0.00438472   71: -0.00142208   72: 8.39062e-05   73: 0.0226026   76: -0.00516222   77: -0.00170922   148: -0.00438472   149: -0.00150107   224: 2.30477e-05   225: -7.89852e-05
Row 74:   1: 0.166667   7: -0.180139   8: -0.111302   22: 0.124774   42: -0.0208333   43: -0.00416667   44: -0.0208333   45: -0.00416667   74: 0.0813494   75: 0.00344184   76: -0.00699219   77: 0.00309627   80: -0.0242014   81: 0.00653811   226: -1.73472e-17   227: -0.00339566
Row 75:   1: 4.51028e-17   7: -3.11383e-16   8: 1.91036e-16   22: 7.28584e-17   42: 0.00833333   43: 0.00277778   44: -0.00833333   45: -0.00277778   74: 0.00344184   75: 0.0228251   76: 0.00623871   77: -0.000932292   80: -0.00623871   81: 0.00322685   226: -9.05309e-18   227: -0.00229456
Row 76:   6: 0.0927287   7: -0.0852332   8: 0.0619254   22: -0.0694209   68: -0.010363   69: -0.00467101   72: -0.0128191   73: -0.00516222   74: -0.00699219   75: 0.00623871   76: 0.0758569   77: 0.000790611   80: -0.00848916   81: -0.00653811   224: -0.0051968   227: -0.00968055
Row 77:   6: -1.38778e-17   7: -5.07407e-16   8: -1.04083e-17   22: 5.3603e-16   68: 0.00463643   69: 0.00138174   72: -0.00463643   73: -0.00170922   74: 0.00309627   75: -0.000932292   76: 0.000790611   77: 0.0251876   80: -0.00309627   81: -0.00113189   224: -0.000327479   227: -0.000199595
Row 78:   8: -0.0211183   9: -0.0647632   23: 0.0858815   78: 0.0377042   79: -0.00218224   82: -0.0161908   83: 0.00648493   86: -0.00527958   87: 0.00430269   229: -0.00649355
Row 79:   8: -1.61112e-16   9: 2.05565e-16   23: -4.68375e-17   78: -0.00218224   79: 0.012219   82: 0.00429408   83: -0.00215877   86: -0.00429408   87: 0.000703944   229: 0.00145483
Row 80:   7: 0.130762   8: -0.0881764   22: -0.188936   23: 0.14635   74: -0.0242014   75: -0.00623871   76: -0.00848916   77: -0.00309627   80: 0.0795998   81: -0.00503796   82: -0.0230325   83: 0.00527243   154: -0.0135549   155: 0.00337692   227: -0.00279688   258: -0.00133186
Row 81:   7: -1.21431e-16   8: -2.13371e-16   22: 4.21538e-16   23: -8.67362e-17   74: 0.00653811   75: 0.00322685   76: -0.00653811   77: -0.00113189   80: -0.00503796   81: 0.0226029   82: 0.00731749   83: -0.003071   154: -0.00731749   155: 0.00180733   227: 0.00209496   258: 0.00126368
Row 82:   8: -0.078254   9: 0.129699   22: 0.105449   23: -0.156893   78: -0.0161908   79: 0.00429408   80: -0.0230325   81: 0.00731749   82: 0.0776213   83: -0.00393196   86: -0.0162339   87: -0.00430269   154: -0.00332965   155: -0.00337692   229: -0.00211183   258: -0.00542198
Row 83:   8: -2.64762e-16   9: -3.46945e-17   22: -9.36751e-17   23: 3.85542e-16   78: 0.00648493   79: -0.00215877   80: 0.00527243   81: -0.003071   82: -0.00393196   83: 0.0232103   86: -0.00648493   87: -0.00216452   154: -0.00527243   155: -0.000443953   229: -5.74198e-06   258: 0.00262705
Row 84:   9: -0.03061   10: -0.0733159   24: 0.103926   84: 0.0372882   85: -0.00213529   88: -0.018329   89: 0.00592714   92: -0.00765251   93: 0.00379184   231: -0.00452268
Row 85:   9: -1.21864e-16   10: 1.63064e-16   24: -4.33681e-17   84: -0.00213529   85: 0.0114511   88: 0.0051963   89: -0.00244386   92: -0.0051963   93: 0.00102033   231: 0.00142353
Row 86:   8: 0.0860538   9: -0.102497   23: -0.07826   24: 0.0947032   78: -0.00527958   79: -0.00429408   82: -0.0162339   83: -0.00648493   86: 0.0740462   87: 0.00121184   88: -0.0142854   89: 0.00539033   158: -0.00939036   159: 0.00441131   229: -0.00647632   232: -0.00506648
Row 87:   8: 3.81639e-17   9: -4.3715e-16   23: 4.47559e-16   24: -5.0307e-17   78: 0.00430269   79: 0.000703944   82: -0.00430269   83: -0.00216452   86: 0.00121184   87: 0.0235933   88: 0.00473516   89: -0.00190472   158: -0.00473516   159: 0.00125205   229: -0.00146057   232: 0.000652676
Row 88:   9: -0.0958916   10: 0.118543   23: 0.107807   24: -0.130458   84: -0.018329   85: 0.0051963   86: -0.0142854   87: 0.00473516   88: 0.0736302   89: -0.0017283   92: -0.0113067   93: -0.00379184   158: -0.0126662   159: -0.00441131   231: -0.003061   232: -0.00375614
Row 89:   9: -2.68015e-16   10: -7.28584e-17   23: -6.93889e-18   24: 3.42608e-16   84: 0.00592714   85: -0.00244386   86: 0.00539033   87: -0.00190472   88: -0.0017283   89: 0.0219071   92: -0.00592714   93: -0.00150756   158: -0.00539033   159: -0.00168883   231: 0.000936304   232: 0.000215897
Row 90:   10: -0.031622   11: -0.07203   25: 0.103652   90: 0.0371687   91: -0.0020204   94: -0.0180075   95: 0.00585265   98: -0.00790549   99: 0.00383224   233: -0.00450229
Row 91:   10: -1.26201e-16   11: 1.68268e-16   25: -4.59702e-17   90: -0.0020204   91: 0.0114124   94: 0.0051826   95: -0.002401   98: -0.0051826   99: 0.00105407   233: 0.00134694
Row 92:   9: 0.0758369   10: -0.0756344   24: -0.0767869   25: 0.0765845   84: -0.00765251   85: -0.0051963   88: -0.0113067   89: -0.00592714   92: 0.0745199   93: -5.76256e-05   94: -0.0115442   95: 0.00592597   164: -0.00760191   165: 0.00513751   231: -0.00733159   234: -0.00723425
Row 93:   9: -3.46945e-18   10: -4.97866e-16   24: 5.3603e-16   25: -3.98986e-17   84: 0.00379184   85: 0.00102033   88: -0.00379184   89: -0.00150756   92: -5.76256e-05   93: 0.0247273   94: 0.00382923   95: -0.00153923   164: -0.00382923   165: 0.00101359   231: -0.000487225   234: 0.000525642
Row 94:   10: -0.117365   11: 0.117053   24: 0.118519   25: -0.118207   90: -0.0180075   91: 0.0051826   92: -0.0115442   93: 0.00382923   94: 0.0744005   95: -4.20788e-05   98: -0.0112557   99: -0.00383224   164: -0.0180856   165: -0.00513751   233: -0.0031622   234: -0.00304076
Row 95:   10: -2.8276e-16   11: -7.28584e-17   24: 3.29597e-17   25: 3.19189e-16   90: 0.00585265   91: -0.002401   92: 0.00592597   93: -0.00153923   94: -4.20788e-05   95: 0.0219078   98: -0.00585265   99: -0.00150076   164: -0.00592597   165: -0.00241142   233: 0.000900238   234: -0.000872186
Row 96:   2: 0.166667   11: -0.196125   12: -0.12082   25: 0.150279   46: -0.0208333   47: -0.00416667   48: -0.0208333   49: -0.00416667   96: 0.083755   97: 0.00376528   98: -0.00937164   99: 0.00277807   102: -0.028198   103: 0.00654335   235: -1.73472e-17   250: -0.00180748
Row 97:   2: 4.51028e-17   11: -2.94903e-16   12: 1.68268e-16   25: 7.97973e-17   46: 0.00833333   47: 0.00277778   48: -0.00833333   49: -0.00277778   96: 0.00376528   97: 0.0229372   98: 0.00751394   99: -0.00124955   102: -0.00751394   103: 0.00375974   235: -8.94467e-18   250: -0.00251019
Row 98:   10: 0.0766449   11: -0.0630977   12: 0.0555613   25: -0.0691085   90: -0.00790549   91: -0.0051826   94: -0.0112557   95: -0.00585265   96: -0.00937164   97: 0.00751394   98: 0.0792571   99: -0.000300544   102: -0.00451869   103: -0.00654335   233: -0.007203   250: -0.0112792
Row 99:   10: -3.46945e-18   11: -5.88071e-16   12: -3.98986e-17   25: 6.29705e-16   90: 0.00383224   91: 0.00105407   94: -0.00383224   95: -0.00150076   96: 0.00277807   97: -0.00124955   98: -0.000300544   99: 0.027296   102: -0.00277807   103: -0.000602492   233: -0.000446697   250: 0.00064706
Row 100:   12: -0.0431575   13: -0.0603628   26: 0.10352   100: 0.0363595   101: -0.000860262   104: -0.0150907   105: 0.00511402   108: -0.0107894   109: 0.00425376   236: -0.00419177
Row 101:   12: -1.3314e-16   13: 1.55691e-16   26: -1.9082e-17   100: -0.000860262   101: 0.0110931   104: 0.00517602   105: -0.00201209   108: -0.00517602   109: 0.00143858   236: 0.000573508
Row 102:   11: 0.130867   12: -0.0911215   25: -0.197711   26: 0.157966   96: -0.028198   97: -0.00751394   98: -0.00451869   99: -0.00277807   102: 0.0827532   103: -0.00532949   104: -0.0212298   105: 0.00448062   170: -0.0182617   171: 0.003887   250: -0.00374866   251: -0.00046933
Row 103:   11: -1.66533e-16   12: -2.22912e-16   25: 4.42354e-16   26: -6.59195e-17   96: 0.00654335   97: 0.00375974   98: -0.00654335   99: -0.000602492   102: -0.00532949   103: 0.0234735   104: 0.00789829   105: -0.00283064   170: -0.00789829   171: 0.00243489   250: 0.00315725   251: 0.000395745
Row 104:   12: -0.046611   13: 0.10228   25: 0.0896124   26: -0.145282   100: -0.0150907   101: 0.00517602   102: -0.0212298   103: 0.00789829   104: 0.0770243   105: -0.00493354   108: -0.0104794   109: -0.00425376   170: -0.00117332   171: -0.003887   236: -0.00431575   251: -0.00730468
Row 105:   12: -3.14635e-16   13: -5.55112e-17   25: -8.23994e-17   26: 4.55365e-16   100: 0.00511402   101: -0.00201209   102: 0.00448062   103: -0.00283064   104: -0.00493354   105: 0.0244133   108: -0.00511402   109: -0.00139726   170: -0.00448062   171: -0.000156443   236: 0.000614836   251: 0.00267419
Row 106:   13: -0.0389519   14: -0.0390126   27: 0.0779646   106: 0.0368863   107: -3.03507e-06   110: -0.00975316   111: 0.00542967   114: -0.00973798   115: 0.00542663   237: -0.00695807
Row 107:   13: -1.97758e-16   14: 1.92771e-16   27: 0   106: -3.03507e-06   107: 0.0121557   110: 0.00389823   111: -0.00130042   114: -0.00389823   115: 0.0012984   237: 2.02338e-06
Row 108:   12: 0.0850753   13: -0.058616   26: -0.10718   27: 0.080721   100: -0.0107894   101: -0.00517602   104: -0.0104794   105: -0.00511402   108: 0.0747363   109: -0.00242821   110: -0.0160057   111: 0.00684045   174: -0.00417457   175: 0.00447423   236: -0.00603628   238: -0.00727862
Row 109:   12: -2.77556e-17   13: -4.28477e-16   26: 5.52509e-16   27: -9.02056e-17   100: 0.00425376   101: 0.00143858   104: -0.00425376   105: -0.00139726   108: -0.00242821   109: 0.024368   110: 0.00403605   111: -0.00213409   174: -0.00403605   175: 0.000556609   236: 4.13274e-05   238: 0.00157748
Row 110:   13: -0.142367   14: 0.108593   26: 0.136809   27: -0.103035   106: -0.00975316   107: 0.00389823   108: -0.0160057   109: 0.00403605   110: 0.0752631   111: 0.00196658   114: -0.0173952   115: -0.00542663   174: -0.0181966   175: -0.00447423   237: -0.00389519   238: -0.00166983
Row 111:   13: -2.97505e-16   14: 1.04083e-17   26: 1.04083e-17   27: 2.77122e-16   106: 0.00542967   107: -0.00130042   108: 0.00684045   109: -0.00213409   110: 0.00196658   111: 0.0219252   114: -0.00542967   115: -0.00231936   174: -0.00684045   175: -0.00242621   237: -0.00101893   238: -0.000292119
Row 112:   14: -0.0488037   15: -0.0478511   28: 0.0966549   112: 0.0360853   113: 4.76285e-05   116: -0.0119628   117: 0.00477688   118: -0.0122009   119: 0.00482451   239: -0.00476865
Row 113:   14: -1.49186e-16   15: 1.44849e-16   28: 5.20417e-18   112: 4.76285e-05   113: 0.0112123   116: 0.00483274   117: -0.00159504   118: -0.00483274   119: 0.00162679   239: -3.17523e-05
Row 114:   13: 0.108533   14: -0.131902   27: -0.0974815   28: 0.120851   106: -0.00973798   107: -0.00389823   110: -0.0173952   111: -0.00542967   114: 0.073919   115: 0.00172101   116: -0.0146324   117: 0.00429049   178: -0.0155802   179: 0.00448006   237: -0.00390126   240: -0.00272802
Row 115:   13: 1.56125e-17   14: -3.31332e-16   27: 3.46945e-16   28: -3.1225e-17   106: 0.00542663   107: 0.0012984   110: -0.00542663   111: -0.00231936   114: 0.00172101   115: 0.0219215   116: 0.00604253   117: -0.00195099   178: -0.00604253   179: 0.00207737   237: -0.00102096   240: -0.000126379
Row 116:   14: -0.0749666   15: 0.0955376   27: 0.0858098   28: -0.106381   112: -0.0119628   113: 0.00483274   114: -0.0146324   115: 0.00604253   116: 0.073118   117: -0.00157071   118: -0.0119216   119: -0.00482451   178: -0.00682004   179: -0.00448006   239: -0.00488037   240: -0.0062321
Row 117:   14: -3.4998e-16   15: -2.42861e-17   27: -3.29597e-17   28: 4.14165e-16   112: 0.00477688   113: -0.00159504   114: 0.00429049   115: -0.00195099   116: -0.00157071   117: 0.0232023   118: -0.00477688   119: -0.00158955   178: -0.00429049   179: -0.000909338   239: 5.48839e-06   240: 0.00104165
Row 118:   14: 0.0964902   15: -0.124309   28: -0.104684   29: 0.132503   112: -0.0122009   113: -0.00483274   116: -0.0119216   117: -0.00477688   118: 0.074235   119: 0.00098128   120: -0.01397   121: 0.00379879   186: -0.0191557   187: 0.00483593   239: -0.00478511   242: -0.00200958
Row 119:   14: -2.94903e-17   15: -3.20056e-16   28: 3.60389e-16   29: -1.38778e-17   112: 0.00482451   113: 0.00162679   116: -0.00482451   117: -0.00158955   118: 0.00098128   119: 0.0220609   120: 0.00662515   121: -0.00186267   186: -0.00662515   187: 0.0025541   239: 3.72407e-05   242: -0.000691427
Row 120:   3: 0.0700292   15: -0.0498391   28: 0.0759759   29: -0.0961661   50: -0.0100715   51: -0.00611702   54: -0.00743582   55: -0.00558988   118: -0.01397   119: 0.00662515   120: 0.0761706   121: -0.00231635   186: -0.00502395   187: -0.00483593   241: -0.00820544   242: -0.00766229
Row 121:   3: 2.60209e-18   15: -4.62087e-16   28: -3.72966e-17   29: 4.95264e-16   50: 0.00350146   51: 0.00134287   54: -0.00350146   55: -0.000991442   118: 0.00379879   119: -0.00186267   120: -0.00231635   121: 0.0256014   186: -0.00379879   187: -0.00066986   241: 0.000351424   242: 0.00119281
Row 122:   16: -0.0478231   17: -0.0548032   30: 0.102626   122: 0.0361889   123: -0.000349005   126: -0.0137008   127: 0.00484663   130: -0.0119558   131: 0.00449763   244: -0.00421294
Row 123:   16: -1.40513e-16   17: 1.48319e-16   30: -4.33681e-18   122: -0.000349005   123: 0.0110547   126: 0.00513131   127: -0.00182677   130: -0.00513131   131: 0.0015941   244: 0.00023267
Row 124:   3: 0.068523   16: -0.0528319   29: -0.0901711   30: 0.0744799   52: -0.00990376   53: -0.00621236   54: -0.007227   55: -0.00567701   124: 0.0761588   125: -0.00186696   126: -0.012639   127: 0.0063778   192: -0.00598097   193: 0.00504619   243: -0.00846322   245: -0.00769999
Row 125:   3: -3.1225e-17   16: -4.996e-16   29: 5.86337e-16   30: -5.72459e-17   52: 0.00342615   53: 0.0013205   54: -0.00342615   55: -0.0009636   124: -0.00186696   125: 0.0256967   126: 0.003724   127: -0.0016852   192: -0.003724   193: 0.000797462   243: 0.000356901   245: 0.00088774
Row 126:   16: -0.119129   17: 0.0969326   29: 0.127556   30: -0.105359   122: -0.0137008   123: 0.00513131   124: -0.012639   125: 0.003724   126: 0.0740589   127: 0.000688503   130: -0.0105324   131: -0.00449763   192: -0.01925   193: -0.00504619   244: -0.00478231   245: -0.00239239
Row 127:   16: -3.16587e-16   17: -4.51028e-17   29: 2.94903e-17   30: 3.30465e-16   122: 0.00484663   123: -0.00182677   124: 0.0063778   125: -0.0016852   126: 0.000688503   127: 0.0221406   130: -0.00484663   131: -0.00140431   192: -0.0063778   193: -0.00256666   244: 0.000422459   245: -0.000881461
Row 128:   17: -0.039654   18: -0.0490532   31: 0.0887072   128: 0.0362661   129: -0.000469959   132: -0.0122633   133: 0.00527052   138: -0.0099135   139: 0.00480056   246: -0.00563572
Row 129:   17: -1.58727e-16   18: 1.68268e-16   31: -1.04083e-17   128: -0.000469959   129: 0.0115495   132: 0.00443536   133: -0.00163511   138: -0.00443536   139: 0.0013218   246: 0.000313306
Row 130:   16: 0.0899525   17: -0.0770282   30: -0.0952916   31: 0.0823673   122: -0.0119558   123: -0.00513131   126: -0.0105324   127: -0.00484663   130: 0.0728304   131: -0.000913168   132: -0.0118671   133: 0.00558335   194: -0.0087247   195: 0.00495486   244: -0.00548032   247: -0.00641985
Row 131:   16: -3.46945e-17   17: -4.0766e-16   30: 4.83554e-16   31: -3.81639e-17   122: 0.00449763   123: 0.0015941   126: -0.00449763   127: -0.00140431   130: -0.000913168   131: 0.0233882   132: 0.00411836   133: -0.00158228   194: -0.00411836   195: 0.00116329   244: 0.00018979   247: 0.000418989
Row 132:   17: -0.120556   18: 0.10541   30: 0.111667   31: -0.0965217   128: -0.0122633   129: 0.00443536   130: -0.0118671   131: 0.00411836   132: 0.0729075   133: 0.0012017   138: -0.0140893   139: -0.00480056   194: -0.0160496   195: -0.00495486   246: -0.0039654   247: -0.00348988
Row 133:   17: -3.16587e-16   18: -2.08167e-17   30: 1.9082e-17   31: 3.17454e-16   128: 0.00527052   129: -0.00163511   130: 0.00558335   131: -0.00158228   132: 0.0012017   133: 0.0219271   138: -0.00527052   139: -0.00187857   194: -0.00558335   195: -0.00213995   246: -0.000243467   247: -0.000557666
Row 134:   18: -0.014548   19: -0.055731   20: 0.0702791   134: 0.0393887   135: -0.00205915   136: -0.0139328   137: 0.00715034   140: -0.00363701   141: 0.00509119   248: -0.00872759
Row 135:   18: -1.9906e-16   19: 2.40259e-16   20: -4.68375e-17   134: -0.00205915   135: 0.0134129   136: 0.00351395   137: -0.0018577   140: -0.00351395   141: 0.000484935   248: 0.00137277
Row 136:   18: -0.170635   19: 0.143007   20: -0.105367   31: 0.132995   134: -0.0139328   135: 0.00351395   136: 0.0779137   137: 0.00326344   138: -0.0124089   139: 0.00353702   140: -0.021819   141: -0.00509119   144: -0.0208399   145: 0.00522322   248: -0.0014548   252: -0.00211049
Row 137:   18: -2.6975e-16   19: 0   20: 2.31152e-16   31: 3.81639e-17   134: 0.00715034   135: -0.0018577   136: 0.00326344   137: 0.0219654   138: 0.00664975   139: -0.00165452   140: -0.00715034   141: -0.0029092   144: -0.00664975   145: 0.00277865   248: -0.00105149   252: -0.00112414
Row 138:   17: 0.0960112   18: -0.0774621   20: 0.0707404   31: -0.0892895   128: -0.0099135   129: -0.00443536   132: -0.0140893   133: -0.00527052   136: -0.0124089   137: 0.00664975   138: 0.0747911   139: -0.00059137   144: -0.00527623   145: -0.00522322   246: -0.00490532   252: -0.00833596
Row 139:   17: -8.67362e-18   18: -4.49293e-16   20: -6.245e-17   31: 5.17815e-16   128: 0.00480056   129: 0.0013218   132: -0.00480056   133: -0.00187857   136: 0.00353702   137: -0.00165452   138: -0.00059137   139: 0.0243581   144: -0.00353702   145: -0.000703497   246: -0.000556773   252: 0.000951019
Row 140:   4: 0.0866899   18: 0.101824   19: -0.115404   20: -0.0731098   58: -0.0146404   59: -0.00598335   60: -0.00703203   61: -0.00446167   134: -0.00363701   135: -0.00351395   136: -0.021819   137: -0.00715034   140: 0.0763375   141: 0.00211471   248: -0.0055731   249: -0.00611053
Row 141:   4: -1.30104e-17   18: 7.02563e-17   19: -4.65773e-16   20: 4.14599e-16   58: 0.00433449   59: 0.00195206   60: -0.00433449   61: -0.000937603   134: 0.00509119   135: 0.000484935   136: -0.00509119   137: -0.0029092   140: 0.00211471   141: 0.0242512   248: -0.00242426   249: 0.00101446
Row 142:   5: 0.1024   20: -0.0775275   21: -0.135605   33: 0.110733   64: -0.0209641   65: -0.00682438   66: -0.00463591   67: -0.00355874   142: 0.0752281   143: -0.0029039   146: -0.0129372   147: 0.00434487   152: -0.014746   153: 0.00470662   223: -0.00526312   254: -0.00351485
Row 143:   5: -5.55112e-17   20: -3.17454e-16   21: 3.6169e-16   33: 8.67362e-18   64: 0.00512   65: 0.00279521   66: -0.00512   67: -0.000618121   142: -0.0029039   143: 0.0229868   146: 0.00553664   147: -0.00172497   152: -0.00553664   153: 0.00196613   223: 0.00217709   254: -0.000241161
Row 144:   18: 0.104464   20: -0.0773124   31: -0.143349   33: 0.116197   136: -0.0208399   137: -0.00664975   138: -0.00527623   139: -0.00353702   144: 0.0752607   145: -0.00330185   146: -0.0149975   147: 0.00453678   198: -0.0140519   199: 0.00434766   252: -0.00496355   265: -0.00307457
Row 145:   18: -1.17961e-16   20: -3.05311e-16   31: 4.64039e-16   33: -4.16334e-17   136: 0.00522322   137: 0.00277865   138: -0.00522322   139: -0.000703497   144: -0.00330185   145: 0.0227489   146: 0.00580986   147: -0.00199966   198: -0.00580986   199: 0.00187358   252: 0.00207515   265: 0.000126078
Row 146:   20: -0.0658942   21: 0.0868975   31: 0.0907355   33: -0.111739   142: -0.0129372   143: 0.00553664   144: -0.0149975   145: 0.00580986   146: 0.0732061   147: -0.00229223   152: -0.00878712   153: -0.00470662   198: -0.00768643   199: -0.00434766   254: -0.00589838   265: -0.00562075
Row 147:   20: -3.59521e-16   21: -4.68375e-17   31: -2.68882e-17   33: 4.32814e-16   142: 0.00434487   143: -0.00172497   144: 0.00453678   145: -0.00199966   146: -0.00229223   147: 0.0233613   152: -0.00434487   153: -0.00117162   198: -0.00453678   199: -0.00102486   254: 0.00055335   265: 0.000974803
Row 148:   6: 0.102314   21: -0.109228   22: -0.106594   32: 0.113508   70: -0.0143204   71: -0.0049972   72: -0.011258   73: -0.00438472   148: 0.0729438   149: 0.000131709   150: -0.012328   151: 0.00413016   156: -0.016049   157: 0.00487435   225: -0.00426624   253: -0.00332912
Row 149:   6: 1.56125e-17   21: -3.33934e-16   22: 3.10949e-16   32: 1.47451e-17   70: 0.00511568   71: 0.00190939   72: -0.00511568   73: -0.00150107   148: 0.000131709   149: 0.0219835   150: 0.0056754   151: -0.00164374   156: -0.0056754   157: 0.00213986   225: 0.000408321   253: -0.000496127
Row 150:   21: -0.0634125   22: 0.0826032   32: -0.100795   33: 0.081604   148: -0.012328   149: 0.0056754   150: 0.0736248   151: -0.00186911   152: -0.0128706   153: 0.00587894   156: -0.0083228   157: -0.00487435   202: -0.00753034   203: 0.00481088   253: -0.00641959   255: -0.00660963
Row 151:   21: -3.92915e-16   22: -4.51028e-17   32: 4.55799e-16   33: -2.60209e-17   148: 0.00413016   149: -0.00164374   150: -0.00186911   151: 0.0239764   152: 0.0040802   153: -0.00171609   156: -0.00413016   157: -0.00110971   202: -0.0040802   203: 0.00100405   253: 0.000534029   255: 0.000712042
Row 152:   20: 0.0941323   21: -0.101245   32: 0.117579   33: -0.110466   142: -0.014746   143: -0.00553664   146: -0.00878712   147: -0.00434487   150: -0.0128706   151: 0.0040802   152: 0.0733954   153: -0.000461083   202: -0.0165241   203: -0.00481088   254: -0.0051749   255: -0.00301214
Row 153:   20: -6.07153e-17   21: -3.33067e-16   32: -1.04083e-17   33: 4.07226e-16   142: 0.00470662   143: 0.00196613   146: -0.00470662   147: -0.00117162   150: 0.00587894   151: -0.00171609   152: -0.000461083   153: 0.0223011   202: -0.00587894   203: -0.00220321   254: 0.000794512   255: -0.000487123
Row 154:   8: 0.0675384   22: -0.0580765   23: -0.0970122   32: 0.0875503   80: -0.0135549   81: -0.00731749   82: -0.00332965   83: -0.00527243   154: 0.0761654   155: -0.00194679   156: -0.0106981   157: 0.00501177   160: -0.0111895   161: 0.00511004   258: -0.00921301   259: -0.0057443
Row 155:   8: -3.20924e-17   22: -4.36283e-16   23: 4.77049e-16   32: 8.67362e-19   80: 0.00337692   81: 0.00180733   82: -0.00337692   83: -0.000443953   154: -0.00194679   155: 0.0252965   156: 0.00437751   157: -0.00142641   160: -0.00437751   161: 0.00149193   258: 0.00136337   259: -6.55149e-05
Row 156:   21: 0.0974871   22: -0.0907341   23: 0.100235   32: -0.106988   148: -0.016049   149: -0.0056754   150: -0.0083228   151: -0.00413016   154: -0.0106981   155: 0.00437751   156: 0.0729481   157: -0.000812708   160: -0.0143607   161: -0.00511004   253: -0.00493121   259: -0.00447579
Row 157:   21: -6.59195e-17   22: -3.56486e-16   23: -1.04083e-17   32: 4.29344e-16   148: 0.00487435   149: 0.00213986   150: -0.00487435   151: -0.00110971   154: 0.00501177   155: -0.00142641   156: -0.000812708   157: 0.0225885   160: -0.00501177   161: -0.00191477   253: 0.00103016   259: -0.000488351
Row 158:   9: 0.0882263   23: -0.0961596   24: -0.105652   36: 0.113586   86: -0.00939036   87: -0.00473516   88: -0.0126662   89: -0.00539033   158: 0.0732049   159: -0.000474636   162: -0.0170227   163: 0.00509783   168: -0.0113737   169: 0.00396803   232: -0.00571417   267: -0.00338657
Row 159:   9: 4.51028e-17   23: -3.67328e-16   24: 3.54751e-16   36: -1.73472e-17   86: 0.00441131   87: 0.00125205   88: -0.00441131   89: -0.00168883   158: -0.000474636   159: 0.0225549   162: 0.00567929   163: -0.0022697   168: -0.00567929   169: 0.00151649   232: -0.000436779   267: 0.000753203
Row 160:   22: 0.102201   23: -0.113036   32: -0.117809   36: 0.128644   154: -0.0111895   155: -0.00437751   156: -0.0143607   157: -0.00501177   160: 0.0740126   161: -0.000238659   162: -0.0182627   163: 0.00477322   204: -0.0138982   205: 0.00390031   259: -0.00427924   268: -0.00224135
Row 161:   22: -1.21431e-17   23: -2.9924e-16   32: 3.747e-16   36: -5.55112e-17   154: 0.00511004   155: 0.00149193   156: -0.00511004   157: -0.00191477   160: -0.000238659   161: 0.0219102   162: 0.00643218   163: -0.00243503   204: -0.00643218   205: 0.00185309   259: -0.000422836   268: 0.000581942
Row 162:   23: -0.0562792   24: 0.101957   32: 0.0954644   36: -0.141142   158: -0.0170227   159: 0.00567929   160: -0.0182627   161: 0.00643218   162: 0.0746271   163: -0.00424313   168: -0.00846643   169: -0.00396803   204: -0.00560337   205: -0.00390031   267: -0.00454948   268: -0.00555927
Row 163:   23: -3.07046e-16   24: -7.11237e-17   32: -5.55112e-17   36: 4.29778e-16   158: 0.00509783   159: -0.0022697   160: 0.00477322   161: -0.00243503   162: -0.00424313   163: 0.0232701   168: -0.00509783   169: -0.00112886   204: -0.00477322   205: -0.000747116   267: 0.00114084   268: 0.00168791
Row 164:   10: 0.10275   24: -0.112246   25: -0.0914761   34: 0.100972   92: -0.00760191   93: -0.00382923   94: -0.0180856   95: -0.00592597   164: 0.0736353   165: 0.0010385   166: -0.0152671   167: 0.00528552   172: -0.0099759   173: 0.00422728   234: -0.00461769   256: -0.0044642
Row 165:   10: 8.67362e-17   24: -3.88144e-16   25: 3.17021e-16   34: -1.73472e-17   92: 0.00513751   93: 0.00101359   94: -0.00513751   95: -0.00241142   164: 0.0010385   165: 0.0226634   166: 0.0050486   167: -0.00203561   172: -0.0050486   173: 0.00133012   234: -0.00139783   256: 0.000705495
Row 166:   24: -0.113643   25: 0.10571   34: -0.120069   36: 0.128001   164: -0.0152671   165: 0.0050486   166: 0.0740158   167: -0.000321294   168: -0.01475   169: 0.00407242   172: -0.0111605   173: -0.00422728   212: -0.0172502   213: 0.00457245   256: -0.00399036   270: -0.00224483
Row 167:   24: -2.88831e-16   25: -4.85723e-17   34: 3.27429e-16   36: 1.38778e-17   164: 0.00528552   165: -0.00203561   166: -0.000321294   167: 0.0218159   168: 0.00640004   169: -0.00196667   172: -0.00528552   173: -0.00148807   212: -0.00640004   213: 0.00230002   256: 0.000547548   270: -0.000333352
Row 168:   23: 0.0793605   24: -0.056314   34: 0.0814484   36: -0.104495   158: -0.0113737   159: -0.00567929   162: -0.00846643   163: -0.00509783   166: -0.01475   167: 0.00640004   168: 0.0744751   169: -0.00240904   212: -0.00561208   213: -0.00457245   267: -0.00680909   270: -0.00690007
Row 169:   23: -3.98986e-17   24: -4.38885e-16   34: -7.63278e-17   36: 5.52943e-16   158: 0.00396803   159: 0.00151649   162: -0.00396803   163: -0.00112886   166: 0.00407242   167: -0.00196667   168: -0.00240904   169: 0.0244298   212: -0.00407242   213: -0.000748277   267: 0.000387636   270: 0.00121839
Row 170:   12: 0.07774   25: -0.0534755   26: -0.124305   34: 0.100041   102: -0.0182617   103: -0.00789829   104: -0.00117332   105: -0.00448062   170: 0.0767803   171: -0.00354149   172: -0.0128147   173: 0.00478399   176: -0.0121955   177: 0.00466017   251: -0.00849191   257: -0.00444213
Row 171:   12: -6.67869e-17   25: -3.8294e-16   26: 4.55365e-16   34: -8.67362e-19   102: 0.003887   103: 0.00243489   104: -0.003887   105: -0.000156443   170: -0.00354149   171: 0.0247861   172: 0.00500204   173: -0.00170862   176: -0.00500204   177: 0.00162607   251: 0.00227845   257: 8.25482e-05
Row 172:   24: 0.0845456   25: -0.0890633   26: 0.0956799   34: -0.0911622   164: -0.0099759   165: -0.0050486   166: -0.0111605   167: -0.00528552   170: -0.0128147   171: 0.00500204   172: 0.072519   173: -0.000104947   176: -0.0111053   177: -0.00466017   256: -0.00610684   257: -0.00487822
Row 173:   24: -1.9082e-17   25: -3.95517e-16   26: -4.16334e-17   34: 4.46258e-16   164: 0.00422728   165: 0.00133012   166: -0.00422728   167: -0.00148807   170: 0.00478399   171: -0.00170862   172: -0.000104947   173: 0.0230001   176: -0.00478399   177: -0.00148071   256: -0.000157948   257: 0.000227912
Row 174:   13: 0.0894845   26: -0.138872   27: -0.0444174   34: 0.093805   108: -0.00417457   109: -0.00403605   110: -0.0181966   111: -0.00684045   174: 0.0754537   175: 0.00472274   176: -0.00692977   177: 0.00411108   180: -0.0165215   181: 0.00602942   238: -0.00640227   263: -0.00545025
Row 175:   13: 1.02349e-16   26: -4.81386e-16   27: 3.39572e-16   34: 3.72966e-17   108: 0.00447423   109: 0.000556609   110: -0.00447423   111: -0.00242621   174: 0.00472274   175: 0.0240718   176: 0.00469025   177: -0.000923969   180: -0.00469025   181: 0.00220286   238: -0.0018696   263: -0.0012789
Row 176:   25: 0.0932034   26: -0.0989237   27: 0.0822215   34: -0.0765012   170: -0.0121955   171: -0.00500204   172: -0.0111053   173: -0.00478399   174: -0.00692977   175: 0.00469025   176: 0.0731924   177: 0.00112112   180: -0.0136256   181: -0.00602942   257: -0.00512586   263: -0.00660859
Row 177:   25: -3.29597e-17   26: -4.25007e-16   27: 1.38778e-17   34: 4.45824e-16   170: 0.00466017   171: 0.00162607   172: -0.00466017   173: -0.00148071   174: 0.00411108   175: -0.000923969   176: 0.00112112   177: 0.0234295   180: -0.00411108   181: -0.00181675   257: 0.000145364   263: -0.000892779
Row 178:   14: 0.0896011   27: -0.0642451   28: -0.114524   35: 0.089168   114: -0.0155802   115: -0.00604253   116: -0.00682004   117: -0.00429049   178: 0.0733846   179: -0.00251394   182: -0.0130507   183: 0.00542212   190: -0.00924125   191: 0.00466022   240: -0.00585296   262: -0.00562395
Row 179:   14: -1.9082e-17   27: -3.50414e-16   28: 3.89445e-16   35: -1.73472e-17   114: 0.00448006   115: 0.00207737   116: -0.00448006   117: -0.000909338   178: -0.00251394   179: 0.0233948   182: 0.0044584   183: -0.0017401   190: -0.0044584   191: 0.00123217   240: 0.00116803   262: 0.000507933
Row 180:   26: 0.120588   27: -0.0838915   34: -0.139262   37: 0.102565   174: -0.0165215   175: -0.00469025   176: -0.0136256   177: -0.00411108   180: 0.0744031   181: -0.00276852   184: -0.018294   185: 0.00599579   214: -0.00734725   215: 0.00380644   228: -0.00467399   263: -0.00277191
Row 181:   26: -5.20417e-17   27: -2.94252e-16   34: 4.31946e-16   37: -9.02056e-17   174: 0.00602942   175: 0.00220286   176: -0.00602942   177: -0.00181675   180: -0.00276852   181: 0.0223228   184: 0.00512825   185: -0.0024392   214: -0.00512825   215: 0.000979634   228: 0.00145957   263: 0.000386116
Row 182:   27: -0.0900435   28: 0.108442   35: -0.123241   37: 0.104842   178: -0.0130507   179: 0.0044584   182: 0.0733955   183: -0.0016599   184: -0.0177596   185: 0.00571854   190: -0.0140599   191: -0.00466022   216: -0.008451   217: 0.00385682   262: -0.0036965   269: -0.00433323
Row 183:   27: -2.95337e-16   28: -2.08167e-17   35: 3.52149e-16   37: -4.25007e-17   178: 0.00542212   179: -0.0017401   182: -0.0016599   183: 0.0222487   184: 0.00524212   185: -0.00236795   190: -0.00542212   191: -0.00187465   216: -0.00524212   217: 0.0011268   262: -0.000134549   269: 0.00124115
Row 184:   27: -0.0900722   34: 0.119916   35: 0.114371   37: -0.144214   180: -0.018294   181: 0.00512825   182: -0.0177596   183: 0.00524212   184: 0.0743699   185: -0.00270711   214: -0.011685   215: -0.00380644   216: -0.0108331   217: -0.00385682   228: -0.0029389   269: -0.0033804
Row 185:   27: -2.46331e-16   34: -2.94903e-17   35: -7.28584e-17   37: 3.49547e-16   180: 0.00599579   181: -0.0024392   182: 0.00571854   183: -0.00236795   184: -0.00270711   185: 0.0219384   214: -0.00599579   215: -0.001558   216: -0.00571854   217: -0.00144441   228: 0.000881204   269: 0.000923535
Row 186:   15: 0.0967187   28: -0.053174   29: -0.132079   30: 0.0885341   118: -0.0191557   119: -0.00662515   120: -0.00502395   121: -0.00379879   186: 0.0747129   187: -0.00394524   188: -0.013864   189: 0.00565872   192: -0.00826956   193: 0.00453984   242: -0.00558801   260: -0.00577185
Row 187:   15: -4.68375e-17   28: -3.50414e-16   29: 4.17635e-16   30: -2.1684e-17   118: 0.00483593   119: 0.0025541   120: -0.00483593   121: -0.00066986   186: -0.00394524   187: 0.02371   188: 0.00442671   189: -0.00184853   192: -0.00442671   193: 0.00110261   242: 0.00188424   260: 0.000745922
Row 188:   28: -0.0970242   29: 0.113174   30: -0.107391   35: 0.0912412   186: -0.013864   187: 0.00442671   188: 0.0728079   189: -0.000518359   190: -0.0129839   191: 0.00528366   192: -0.0144296   193: -0.00453984   196: -0.00982642   197: 0.00465217   260: -0.00330782   261: -0.00537376
Row 189:   28: -3.08781e-16   29: -2.77556e-17   30: 3.53233e-16   35: -2.08167e-17   186: 0.00565872   187: -0.00184853   188: -0.000518359   189: 0.0223093   190: 0.00456206   191: -0.00173118   192: -0.00565872   193: -0.00192395   196: -0.00456206   197: 0.00131019   260: -7.54207e-05   261: 0.000420993
Row 190:   27: 0.0932045   28: -0.109977   30: 0.105673   35: -0.0889005   178: -0.00924125   179: -0.0044584   182: -0.0140599   183: -0.00542212   188: -0.0129839   189: 0.00456206   190: 0.0725966   191: 0.00105383   196: -0.0134344   197: -0.00465217   261: -0.00393057   262: -0.0052203
Row 191:   27: 0   28: -3.66027e-16   30: -2.77556e-17   35: 3.97685e-16   178: 0.00466022   179: 0.00123217   182: -0.00466022   183: -0.00187465   188: 0.00528366   189: -0.00173118   190: 0.00105383   191: 0.0224094   196: -0.00528366   197: -0.00179125   261: -6.00706e-05   262: -0.000642483
Row 192:   16: 0.100924   28: 0.0907968   29: -0.134718   30: -0.0570021   124: -0.00598097   125: -0.003724   126: -0.01925   127: -0.0063778   186: -0.00826956   187: -0.00442671   188: -0.0144296   189: -0.00565872   192: 0.0744331   193: 0.00388582   245: -0.00505561   260: -0.00554559
Row 193:   16: 1.00614e-16   28: 6.93889e-18   29: -4.7358e-16   30: 3.71231e-16   124: 0.00504619   125: 0.000797462   126: -0.00504619   127: -0.00256666   186: 0.00453984   187: 0.00110261   188: -0.00453984   189: -0.00192395   192: 0.00388582   193: 0.0233826   245: -0.0017692   260: -0.000821343
Row 194:   17: 0.0990973   30: -0.119559   31: -0.0787626   35: 0.0992241   130: -0.0087247   131: -0.00411836   132: -0.0160496   133: -0.00558335   194: 0.0728261   195: 0.00203981   196: -0.0109659   197: 0.00446891   200: -0.0138401   201: 0.00504374   247: -0.00474685   264: -0.00455145
Row 195:   17: 6.59195e-17   30: -3.97252e-16   31: 3.16587e-16   35: 1.21431e-17   130: 0.00495486   131: 0.00116329   132: -0.00495486   133: -0.00213995   194: 0.00203981   195: 0.0225197   196: 0.00496121   197: -0.00146212   200: -0.00496121   201: 0.00184535   247: -0.000976655   264: -0.00038322
Row 196:   28: 0.0930433   30: -0.0992521   31: 0.0893782   35: -0.0831694   188: -0.00982642   189: -0.00456206   190: -0.0134344   191: -0.00528366   194: -0.0109659   195: 0.00496121   196: 0.0724293   197: 0.000804132   200: -0.0113786   201: -0.00504374   261: -0.00519355   264: -0.00553604
Row 197:   28: -1.04083e-17   30: -4.05925e-16   31: -2.25514e-17   35: 4.34982e-16   188: 0.00465217   189: 0.00131019   190: -0.00465217   191: -0.00179125   194: 0.00446891   195: -0.00146212   196: 0.000804132   197: 0.022891   200: -0.00446891   201: -0.00151715   261: -0.000481064   264: -5.50237e-05
Row 198:   20: 0.0869532   31: -0.0875396   33: -0.0977775   35: 0.0983639   144: -0.0140519   145: -0.00580986   146: -0.00768643   147: -0.00453678   198: 0.0729761   199: -0.000511899   200: -0.0103925   201: 0.00440838   208: -0.0141985   209: 0.00516957   265: -0.00599898   266: -0.00465976
Row 199:   20: -9.54098e-18   31: -3.76435e-16   33: 3.62557e-16   35: 1.38778e-17   144: 0.00434766   145: 0.00187358   146: -0.00434766   147: -0.00102486   198: -0.000511899   199: 0.0230132   200: 0.00491819   201: -0.00138567   208: -0.00491819   209: 0.00189313   265: 0.000848726   266: -0.000507459
Row 200:   30: 0.100875   31: -0.0921121   33: 0.0881677   35: -0.0969304   194: -0.0138401   195: -0.00496121   196: -0.0113786   197: -0.00446891   198: -0.0103925   199: 0.00491819   200: 0.072425   201: -0.000240918   208: -0.0116494   209: -0.00516957   264: -0.00438637   266: -0.00567938
Row 201:   30: -4.51028e-17   31: -3.80772e-16   33: -1.56125e-17   35: 4.35416e-16   194: 0.00504374   195: 0.00184535   196: -0.00504374   197: -0.00151715   198: 0.00440838   199: -0.00138567   200: -0.000240918   201: 0.0226686   208: -0.00440838   209: -0.00155325   264: 0.000328197   266: -0.000167585
Row 202:   21: 0.0962176   32: -0.109837   33: -0.0853952   37: 0.099015   150: -0.00753034   151: -0.0040802   152: -0.0165241   153: -0.00587894   202: 0.0731081   203: 0.00122211   206: -0.0138185   207: 0.00504956   210: -0.0109353   211: 0.00447292   255: -0.00514826   272: -0.00457174
Row 203:   21: 1.9082e-17   32: -3.86843e-16   33: 4.10262e-16   37: -4.16334e-17   150: 0.00481088   151: 0.00100405   152: -0.00481088   153: -0.00220321   202: 0.00122211   203: 0.0227355   206: 0.00495075   207: -0.00184246   210: -0.00495075   211: 0.00145804   255: -0.00119916   272: 0.000384424
Row 204:   23: 0.0780061   32: -0.0414894   36: -0.117275   37: 0.080758   160: -0.0138982   161: -0.00643218   162: -0.00560337   163: -0.00477322   204: 0.075809   205: -0.00378927   206: -0.0154205   207: 0.00665515   218: -0.00476897   219: 0.00452484   268: -0.00730509   271: -0.00714209
Row 205:   23: -2.25514e-17   32: -4.06576e-16   36: 4.77049e-16   37: -4.68375e-17   160: 0.00390031   161: 0.00185309   162: -0.00390031   163: -0.000747116   204: -0.00378927   205: 0.0250315   206: 0.0040379   207: -0.00205607   218: -0.0040379   219: 0.000635863   268: 0.00110597   271: 0.00142021
Row 206:   32: -0.117138   33: 0.100991   36: 0.133103   37: -0.116956   202: -0.0138185   203: 0.00495075   204: -0.0154205   205: 0.0040379   206: 0.0742278   207: 9.11525e-06   210: -0.0114293   211: -0.00447292   218: -0.0178552   219: -0.00452484   271: -0.00190759   272: -0.00437411
Row 207:   32: -2.73653e-16   33: -1.21431e-17   36: -2.42861e-17   37: 3.10516e-16   202: 0.00504956   203: -0.00184246   204: 0.00665515   205: -0.00205607   206: 9.11525e-06   207: 0.021888   210: -0.00504956   211: -0.00152391   218: -0.00665515   219: -0.0023807   271: -0.000324626   272: 0.00031855
Row 208:   31: 0.103391   33: -0.101202   35: -0.118433   37: 0.116244   198: -0.0141985   199: -0.00491819   200: -0.0116494   201: -0.00440838   208: 0.0729978   209: -0.000861567   210: -0.0154099   211: 0.00462126   216: -0.0136511   217: 0.00426951   230: -0.00307858   266: -0.00415701
Row 209:   31: -4.16334e-17   33: -2.96638e-16   35: 3.79037e-16   37: -4.51028e-17   198: 0.00516957   199: 0.00189313   200: -0.00516957   201: -0.00155325   208: -0.000861567   209: 0.0218779   210: 0.00581219   211: -0.00205465   216: -0.00581219   217: 0.00182015   230: 0.000234504   266: 0.000339875
Row 210:   32: 0.0894585   33: -0.0765031   35: 0.0924253   37: -0.105381   202: -0.0109353   203: -0.00495075   206: -0.0114293   207: -0.00504956   208: -0.0154099   209: 0.00581219   210: 0.0729405   211: -0.00144388   216: -0.00769644   217: -0.00426951   230: -0.00546044   272: -0.00552738
Row 211:   32: 2.94903e-17   33: -3.70797e-16   35: -3.55618e-17   37: 3.79037e-16   202: 0.00447292   203: 0.00145804   206: -0.00447292   207: -0.00152391   208: 0.00462126   209: -0.00205465   210: -0.00144388   211: 0.0231134   216: -0.00462126   217: -0.00102619   230: 0.00102846   272: -6.5874e-05
Row 212:   24: 0.091449   34: -0.0610592   36: -0.120117   37: 0.0897272   166: -0.0172502   167: -0.00640004   168: -0.00561208   169: -0.00407242   212: 0.0738938   213: -0.00295289   214: -0.0127791   215: 0.00532577   218: -0.00965271   219: 0.0047005   270: -0.00590001   273: -0.00553991
Row 213:   24: -9.02056e-17   34: -3.79037e-16   36: 5.12611e-16   37: -4.16334e-17   166: 0.00457245   167: 0.00230002   168: -0.00457245   169: -0.000748277   212: -0.00295289   213: 0.0235183   214: 0.00448636   215: -0.00170388   218: -0.00448636   219: 0.00128703   270: 0.00155175   273: 0.000416848
Row 214:   27: 0.0761289   34: -0.102139   36: 0.106515   37: -0.0805053   180: -0.00734725   181: -0.00512825   184: -0.011685   185: -0.00599579   212: -0.0127791   213: 0.00448636   214: 0.0736078   215: 0.00108168   218: -0.0138498   219: -0.0047005   228: -0.0073176   273: -0.00386109
Row 215:   27: 4.68375e-17   34: -4.16767e-16   36: 7.80626e-18   37: 3.64292e-16   180: 0.00380644   181: 0.000979634   184: -0.00380644   185: -0.001558   212: 0.00532577   213: -0.00170388   214: 0.00108168   215: 0.023355   218: -0.00532577   219: -0.00184664   228: -0.000578361   273: -0.000142758
Row 216:   27: 0.0771363   33: 0.0853902   35: -0.0741181   37: -0.0884084   182: -0.008451   183: -0.00524212   184: -0.0108331   185: -0.00571854   208: -0.0136511   209: -0.00581219   210: -0.00769644   211: -0.00462126   216: 0.0738011   217: -0.000714514   230: -0.00616395   269: -0.00710384
Row 217:   27: -9.54098e-18   33: -7.80626e-18   35: -4.61436e-16   37: 4.83988e-16   182: 0.00385682   183: 0.0011268   184: -0.00385682   185: -0.00144441   208: 0.00426951   209: 0.00182015   210: -0.00426951   211: -0.00102619   216: -0.000714514   217: 0.0241029   230: 0.000793954   269: -0.000317611
Row 218:   32: 0.0904968   34: 0.0940099   36: -0.12682   37: -0.0576867   204: -0.00476897   205: -0.0040379   206: -0.0178552   207: -0.00665515   212: -0.00965271   213: -0.00448636   214: -0.0138498   215: -0.00532577   218: 0.0743263   219: 0.00345666   271: -0.00616821   273: -0.00511163
Row 219:   32: 4.51028e-17   34: 5.20417e-17   36: -4.77049e-16   37: 3.90313e-16   204: 0.00452484   205: 0.000635863   206: -0.00452484   207: -0.0023807   212: 0.0047005   213: 0.00128703   214: -0.0047005   215: -0.00184664   218: 0.00345666   219: 0.0235803   271: -0.00174483   273: -0.000559607
Row 220:   0: -5.55112e-17   4: -3.46945e-18   19: 5.89806e-17   38: -0.00833333   39: -0.00277778   40: -0.00833333   41: -0.00277778   58: -1.21431e-17   59: 3.03577e-18   220: 0.0111111
Row 221:   4: -3.46945e-17   5: -1.38778e-17   20: 4.51028e-17   56: -0.00901414   57: -0.00144642   60: -0.00562171   61: -0.00257723   64: -0.00128244   65: -0.00113081   221: 0.0106122
Row 222:   5: -3.1225e-17   6: -2.42861e-17   21: 5.89806e-17   62: -0.00590857   63: -0.000444647   66: -0.00499561   67: -0.000748966   70: -0.00366167   71: -0.000304319   222: 0.00971057
Row 223:   5: -1.04083e-17   20: 4.33681e-17   21: -3.46945e-17   64: -0.00185436   65: -0.00104084   66: -0.00838564   67: 0.00113625   142: -0.00526312   143: 0.00217709   223: 0.0103354
Row 224:   6: -3.1225e-17   7: -3.81639e-17   22: 6.59195e-17   68: -0.00512765   69: 0.000350526   72: -0.00414522   73: 2.30477e-05   76: -0.0051968   77: -0.000327479   224: 0.00964644
Row 225:   6: -2.42861e-17   21: 5.37764e-17   22: -3.98986e-17   70: -0.0045032   71: -0.000487306   72: -0.00572816   73: -7.89852e-05   148: -0.00426624   149: 0.000408321   225: 0.00966506
Row 226:   1: -5.55112e-17   7: 5.20417e-17   8: 3.46945e-18   42: -0.00833333   43: -0.00277778   44: -0.00833333   45: -0.00277778   74: -1.73472e-17   75: -9.05309e-18   226: 0.0111111
Row 227:   7: -6.93889e-17   8: -2.25514e-17   22: 8.67362e-17   74: -0.00339566   75: -0.00229456   76: -0.00968055   77: -0.000199595   80: -0.00279688   81: 0.00209496   227: 0.0105821
Row 228:   27: -3.46945e-17   34: 7.28584e-17   37: -3.85976e-17   180: -0.00467399   181: 0.00145957   184: -0.0029389   185: 0.000881204   214: -0.0073176   215: -0.000578361   228: 0.00995366
Row 229:   8: -1.38778e-17   9: -4.68375e-17   23: 5.72459e-17   78: -0.00649355   79: 0.00145483   82: -0.00211183   83: -5.74198e-06   86: -0.00647632   87: -0.00146057   229: 0.0100545
Row 230:   33: -1.73472e-17   35: 5.55112e-17   37: -3.29597e-17   208: -0.00307858   209: 0.000234504   210: -0.00546044   211: 0.00102846   216: -0.00616395   217: 0.000793954   230: 0.00980198
Row 231:   9: -1.73472e-17   10: -4.33681e-17   24: 6.07153e-17   84: -0.00452268   85: 0.00142353   88: -0.003061   89: 0.000936304   92: -0.00733159   93: -0.000487225   231: 0.00994352
Row 232:   9: -3.1225e-17   23: 6.93889e-17   24: -3.55618e-17   86: -0.00506648   87: 0.000652676   88: -0.00375614   89: 0.000215897   158: -0.00571417   159: -0.000436779   232: 0.0096912
Row 233:   10: -1.73472e-17   11: -4.59702e-17   25: 6.245e-17   90: -0.00450229   91: 0.00134694   94: -0.0031622   95: 0.000900238   98: -0.007203   99: -0.000446697   233: 0.00991166
Row 234:   10: -4.16334e-17   24: 6.93889e-17   25: -2.60209e-17   92: -0.00723425   93: 0.000525642   94: -0.00304076   95: -0.000872186   164: -0.00461769   165: -0.00139783   234: 0.00992847
Row 235:   2: -5.55112e-17   11: 5.20417e-17   12: 3.46945e-18   46: -0.00833333   47: -0.00277778   48: -0.00833333   49: -0.00277778   96: -1.73472e-17   97: -8.94467e-18   235: 0.0111111
Row 236:   12: -2.42861e-17   13: -4.42354e-17   26: 6.76542e-17   100: -0.00419177   101: 0.000573508   104: -0.00431575   105: 0.000614836   108: -0.00603628   109: 4.13274e-05   236: 0.00969587
Row 237:   13: -2.08167e-17   14: -2.77556e-17   27: 5.20417e-17   106: -0.00695807   107: 2.02338e-06   110: -0.00389519   111: -0.00101893   114: -0.00390126   115: -0.00102096   237: 0.00983635
Row 238:   13: -4.51028e-17   26: 9.02056e-17   27: -4.64039e-17   108: -0.00727862   109: 0.00157748   110: -0.00166983   111: -0.000292119   174: -0.00640227   175: -0.0018696   238: 0.0102338
Row 239:   14: -2.42861e-17   15: -2.60209e-17   28: 6.07153e-17   112: -0.00476865   113: -3.17523e-05   116: -0.00488037   117: 5.48839e-06   118: -0.00478511   119: 3.72407e-05   239: 0.00962276
Row 240:   14: -2.08167e-17   27: 6.07153e-17   28: -3.1225e-17   114: -0.00272802   115: -0.000126379   116: -0.0062321   117: 0.00104165   178: -0.00585296   179: 0.00116803   240: 0.00987538
Row 241:   3: -1.56125e-17   15: 7.63278e-17   29: -5.89806e-17   50: -0.00297433   51: 0.00139228   54: -0.0040286   55: 0.0017437   120: -0.00820544   121: 0.000351424   241: 0.0101389
Row 242:   15: -1.73472e-17   28: 4.85723e-17   29: -3.98986e-17   118: -0.00200958   119: -0.000691427   120: -0.00766229   121: 0.00119281   186: -0.00558801   187: 0.00188424   242: 0.0101733
Row 243:   3: -2.08167e-17   16: -5.07407e-17   29: 7.80626e-17   52: -0.0028908   53: 0.00150057   54: -0.0039615   55: 0.00185747   124: -0.00846322   125: 0.000356901   243: 0.0102103
Row 244:   16: -3.81639e-17   17: -3.20924e-17   30: 7.28584e-17   122: -0.00421294   123: 0.00023267   126: -0.00478231   127: 0.000422459   130: -0.00548032   131: 0.00018979   244: 0.00965038
Row 245:   16: -4.85723e-17   29: 7.97973e-17   30: -3.38271e-17   124: -0.00769999   125: 0.00088774   126: -0.00239239   127: -0.000881461   192: -0.00505561   193: -0.0017692   245: 0.0100987
Row 246:   17: -2.08167e-17   18: -2.77556e-17   31: 4.85723e-17   128: -0.00563572   129: 0.000313306   132: -0.0039654   133: -0.000243467   138: -0.00490532   139: -0.000556773   246: 0.00967096
Row 247:   17: -3.81639e-17   30: 5.89806e-17   31: -2.25514e-17   130: -0.00641985   131: 0.000418989   132: -0.00348988   133: -0.000557666   194: -0.00474685   195: -0.000976655   247: 0.00977105
Row 248:   18: 0   19: -3.81639e-17   20: 4.0766e-17   134: -0.00872759   135: 0.00137277   136: -0.0014548   137: -0.00105149   140: -0.0055731   141: -0.00242426   248: 0.0105037
Row 249:   4: -1.73472e-17   19: 5.37764e-17   20: -4.16334e-17   58: -0.00281281   59: 8.47844e-05   60: -0.00585618   61: 0.00109924   140: -0.00611053   141: 0.00101446   249: 0.00985301
Row 250:   11: -6.93889e-17   12: -2.51535e-17   25: 1.00614e-16   96: -0.00180748   97: -0.00251019   98: -0.0112792   99: 0.00064706   102: -0.00374866   103: 0.00315725   250: 0.0112236
Row 251:   12: -6.93889e-18   25: 5.81132e-17   26: -5.89806e-17   102: -0.00046933   103: 0.000395745   104: -0.00730468   105: 0.00267419   170: -0.00849191   171: 0.00227845   251: 0.0108439
Row 252:   18: -4.85723e-17   20: -3.33934e-17   31: 7.97973e-17   136: -0.00211049   137: -0.00112414   138: -0.00833596   139: 0.000951019   144: -0.00496355   145: 0.00207515   252: 0.0102733
Row 253:   21: -4.16334e-17   22: -3.64292e-17   32: 7.63278e-17   148: -0.00332912   149: -0.000496127   150: -0.00641959   151: 0.000534029   156: -0.00493121   157: 0.00103016   253: 0.00978661
Row 254:   20: -3.46945e-17   21: -2.94903e-17   33: 6.59195e-17   142: -0.00351485   143: -0.000241161   146: -0.00589838   147: 0.00055335   152: -0.0051749   153: 0.000794512   254: 0.00972542
Row 255:   21: -1.04083e-17   32: -3.64292e-17   33: 5.37764e-17   150: -0.00660963   151: 0.000712042   152: -0.00301214   153: -0.000487123   202: -0.00514826   203: -0.00119916   255: 0.00984668
Row 256:   24: -2.77556e-17   25: -3.64292e-17   34: 7.28584e-17   164: -0.0044642   165: 0.000705495   166: -0.00399036   167: 0.000547548   172: -0.00610684   173: -0.000157948   256: 0.0097076
Row 257:   25: -2.77556e-17   26: -3.1225e-17   34: 6.07153e-17   170: -0.00444213   171: 8.25482e-05   172: -0.00487822   173: 0.000227912   176: -0.00512586   177: 0.000145364   257: 0.0096308
Row 258:   8: -5.20417e-18   22: 6.85216e-17   23: -6.41848e-17   80: -0.00133186   81: 0.00126368   82: -0.00542198   83: 0.00262705   154: -0.00921301   155: 0.00136337   258: 0.0106446
Row 259:   22: -2.77556e-17   23: -3.29597e-17   32: 5.55112e-17   154: -0.0057443   155: -6.55149e-05   156: -0.00447579   157: -0.000488351   160: -0.00427924   161: -0.000422836   259: 0.00966622
Row 260:   28: -2.08167e-17   29: -3.46945e-17   30: 5.20417e-17   186: -0.00577185   187: 0.000745922   188: -0.00330782   189: -7.54207e-05   192: -0.00554559   193: -0.000821343   260: 0.00975018
Row 261:   28: -2.08167e-17   30: -2.77556e-17   35: 5.20417e-17   188: -0.00537376   189: 0.000420993   190: -0.00393057   191: -6.00706e-05   196: -0.00519355   197: -0.000481064   261: 0.00966525
Row 262:   27: -1.73472e-17   28: -3.81639e-17   35: 5.89806e-17   178: -0.00562395   179: 0.000507933   182: -0.0036965   183: -0.000134549   190: -0.0052203   191: -0.000642483   262: 0.00969383
Row 263:   26: -4.85723e-17   27: -1.9082e-17   34: 6.93889e-17   174: -0.00545025   175: -0.0012789   176: -0.00660859   177: -0.000892779   180: -0.00277191   181: 0.000386116   263: 0.00988716
Row 264:   30: -3.46945e-17   31: -2.25514e-17   35: 6.59195e-17   194: -0.00455145   195: -0.00038322   196: -0.00553604   197: -5.50237e-05   200: -0.00438637   201: 0.000328197   264: 0.00964924
Row 265:   20: -1.38778e-17   31: 5.55112e-17   33: -3.81639e-17   144: -0.00307457   145: 0.000126078   146: -0.00562075   147: 0.000974803   198: -0.00599898   199: 0.000848726   265: 0.0097962
Row 266:   31: -3.81639e-17   33: -2.77556e-17   35: 6.59195e-17   198: -0.00465976   199: -0.000507459   200: -0.00567938   201: -0.000167585   208: -0.00415701   209: 0.000339875   266: 0.0096641
Row 267:   23: -2.77556e-17   24: -4.55365e-17   36: 7.28584e-17   158: -0.00338657   159: 0.000753203   162: -0.00454948   163: 0.00114084   168: -0.00680909   169: 0.000387636   267: 0.0098301
Row 268:   23: -1.38778e-17   32: 6.07153e-17   36: -4.16334e-17   160: -0.00224135   161: 0.000581942   162: -0.00555927   163: 0.00168791   204: -0.00730509   205: 0.00110597   268: 0.0100705
Row 269:   27: -2.08167e-17   35: -3.81639e-17   37: 6.245e-17   182: -0.00433323   183: 0.00124115   184: -0.0033804   185: 0.000923535   216: -0.00710384   217: -0.000317611   269: 0.00987831
Row 270:   24: -4.16334e-17   34: -3.85976e-17   36: 7.63278e-17   166: -0.00224483   167: -0.000333352   168: -0.00690007   169: 0.00121839   212: -0.00590001   213: 0.00155175   270: 0.0100299
Row 271:   32: -1.38778e-17   36: -3.81639e-17   37: 5.29091e-17   204: -0.00714209   205: 0.00142021   206: -0.00190759   207: -0.000324626   218: -0.00616821   219: -0.00174483   271: 0.0101453
Row 272:   32: -2.77556e-17   33: 5.89806e-17   37: -3.46945e-17   202: -0.00457174   203: 0.000384424   206: -0.00437411   207: 0.00031855   210: -0.00552738   211: -6.5874e-05   272: 0.00964882
Row 273:   34: -3.46945e-17   36: 6.93889e-17   37: -3.46945e-17   212: -0.00553991   213: 0.000416848   214: -0.00386109   215: -0.000142758   218: -0.00511163   219: -0.000559607   273: 0.00967508

Solve the problem:

[8]:
gfu = GridFunction(fes)
gfu.vec.data = a.mat.Inverse(fes.FreeDofs()) * f.vec

Plot the solution:

[9]:
Draw (gfu, mesh);
[10]:
Draw (-grad(gfu), mesh, "Flux", vectors= { "grid_size" : 40});

Calculate error:

[11]:
exact = 16*x*(1-x)*y*(1-y)
print ("L2-error:", sqrt(Integrate((gfu-exact)**2, mesh)))
L2-error: 5.8102129540773155e-05
[ ]: