File:Stability region for BDF1.svg
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Stability region for BDF1.svg
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Summary
DescriptionStability region for BDF1.svg |
English: Region of absolute stability for the backward Euler = BDF1 method. See below for Python source. Compare with page 350 of Süli, Endre; Mayers, David (2003), An Introduction to Numerical Analysis, Cambridge University Press, ISBN 0521007941. |
Date | |
Source | Own work |
Author | Jitse Niesen |
SVG genesis InfoField | ![]() This plot was created with Matplotlib |
Source code InfoField | Python codeimport numpy
from matplotlib import pyplot
BFDcoeffs = { 1: {'alpha': [1, -1], 'beta': 1},
2: { 'alpha': [3, -4, 1], 'beta': 2 },
3: { 'alpha': [11, -18, 9, -2], 'beta': 6 },
4: { 'alpha': [25, -48, 36, -16, 3], 'beta': 12 },
5: { 'alpha': [137, -300, 300, -200, 75, -12], 'beta': 60 },
6: { 'alpha': [147, -360, 450, -400, 225, -72], 'beta': 60 } }
plotWindow = { 1: { 'realPart': [-2, 3], 'imagPart': [-2, 2] },
2: { 'realPart': [-2, 5], 'imagPart': [-3, 3] },
3: { 'realPart': [-4, 8], 'imagPart': [-5, 5] },
4: { 'realPart': [-4, 14], 'imagPart': [-8, 8] },
5: { 'realPart': [-10, 25], 'imagPart': [-15, 15] },
6: { 'realPart': [-20, 40], 'imagPart': [-30, 30] } }
# Returns > 1 if argument is not in region of absolute stability
def stabilityFunction(hTimesLambda, s):
stabPolyCoeffs = list(BFDcoeffs[s]['alpha'])
stabPolyCoeffs[0] -= hTimesLambda * BFDcoeffs[s]['beta']
return max(abs(numpy.roots(stabPolyCoeffs)))
# Main program
for s in range(1,7):
x = numpy.linspace(*plotWindow[s]['realPart'], num=400)
y = numpy.linspace(*plotWindow[s]['imagPart'], num=400)
[X,Y] = numpy.meshgrid(x,y)
Z = numpy.zeros(X.shape)
for m in range(X.shape[0]):
for n in range(X.shape[1]):
Z[m,n] = stabilityFunction(X[m,n] + 1j * Y[m,n], s)
pyplot.contour(X, Y, Z, [1], colors='k')
pyplot.contourf(X, Y, Z, [0,1], colors=[[1, 0.5, 0.8]])
pyplot.plot(plotWindow[s]['realPart'], [0, 0], 'k--')
pyplot.plot([0, 0], plotWindow[s]['imagPart'], 'k--')
pyplot.gca().tick_params(labelsize = 20)
pyplot.savefig('Stability_region_for_BDF%d.svg' % s)
pyplot.clf()
|
Licensing
I, the copyright holder of this work, hereby publish it under the following licence:
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This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication. |
The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighbouring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.
http://creativecommons.org/publicdomain/zero/1.0/deed.enCC0Creative Commons Zero, Public Domain Dedicationfalsefalse |
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20 March 2012
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 21:07, 20 March 2012 | ![]() | 720 × 540 (88 KB) | wikimediacommons>Jitse Niesen |
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