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A Gradient-Prediction Algorithm for Computing One Dimensional Stable and Unstable Manifolds of Maps
Abstract:
A new algorithm is presented to compute both one dimensional stable and unstable manifolds of planar maps. The global manifold is grown from a local manifold and one point is added each step. It is proved that the gradient of the global manifold can be predicted by the known points on the manifold with a gradient prediction scheme and it can be used to locate the image or preimage of the new point quickly. A new accuracy criterion is derived from the gradient prediction scheme. The performance of the algorithm is tested with several well-known examples.
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78-81
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Online since:
October 2012
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© 2012 Trans Tech Publications Ltd. All Rights Reserved
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