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

Gapsplit:针对非凸约束模型的高效随机抽样

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Abstract

SUMMARY: 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. AVAILABILITY AND IMPLEMENTATION: Python and Matlab source code are freely available at http://jensenlab.net/tools. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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