bvp4c2

Version 1.0.0.0 (228 ko) par Qun HAN
Faster version of the MATLAB function bvp4c.
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942 téléchargements
Mise à jour 7 juin 2009

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The most time consuming part of BVP4C is the function colloc_Jac, especially when the number of equations is large. In bvp4c2 the inefficient sparse matrix operation in colloc_Jac is optimized according to the method intruduced in Loren's blog (http://blogs.mathworks.com/loren/2007/03/01/creating-sparse-finite-element-matrices-in-matlab/). When called without unknown parameters and FJacobian is not used, bvp4c2 is more than 10x faster than BVP4C for large BVP systems.

The mex file SPARSE2.MEXW32 is compiled from SuiteSparse(http://www.cise.ufl.edu/research/sparse/SuiteSparse/). It is about 2x faster than SPARSE. If you encounters problem with it, just comment it out in bvp4c2 and use the MATLAB function sparse.

Citation pour cette source

Qun HAN (2024). bvp4c2 (https://www.mathworks.com/matlabcentral/fileexchange/24359-bvp4c2), MATLAB Central File Exchange. Récupéré le .

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Version Publié le Notes de version
1.0.0.0