Gapsplit: efficient random sampling for non-convex constraint-based models.

Keaty, Thomas C; Jensen, Paul A · Bioinformatics · 2020

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Abstract

Gapsplit generates random samples from convex and non-convex constraint-based models by targeting under-sampled regions of the solution space. Gapsplit provides uniform coverage of linear, mixed-integer and general non-linear models. Python and Matlab source code are freely available at http://jensenlab.net/tools. Supplementary data are available at Bioinformatics online.

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