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bvp4c2

version 1.0.0.0 (228 KB) by Qun HAN
Faster version of the MATLAB function bvp4c.

899 Downloads

Updated 07 Jun 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.

Cite As

Qun HAN (2021). bvp4c2 (https://www.mathworks.com/matlabcentral/fileexchange/24359-bvp4c2), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2009a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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