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


Updated 7 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 ( 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( 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 (2022). 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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