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One of the consequences of Seymour's characterization of regular matroids is the existence of a polynomial time recognition algorithm for totally unimodular matrices (i.e. matrices for which every square sub-determinant is in {0, 1, -1}).

But has anyone actually implemented it?

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  • $\begingroup$ I guess I'll take the silence as a probable "no"... It seems like something that I would like to have done, but don't actually want to do.. $\endgroup$ Jun 8, 2010 at 1:59

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EDIT. Walter and Trümper have announced on arXiv their implementation, with source code available, of two methods for testing total unimodularity. Their paper describes the technical details of the implementation / algorithm, and also provides several experimental results.


I found the following link for an implementation in R, where they claim to have a function for testing whether a matrix is totally unimodular. I have not checked which particular algorithm they use.

Link: R package

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  • $\begingroup$ The implementation mentioned already is available at this site. It is a C++ library with a straight-forward interface. $\endgroup$
    – Xammy
    Jun 6, 2012 at 7:14
  • $\begingroup$ The link in @Xammy's comment is outdated. The C++ library can now be found here. $\endgroup$
    – Aaron Dall
    Jul 29, 2017 at 0:00
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To my knowledge no one has implemented the algorithm. A good reference though for someone thinking about it would be Truember's book "Matroid Decomposition" which contains a fairly simple description of the necessary steps.

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