Literature DB >> 31913465

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

Thomas C Keaty1,2, Paul A Jensen1,2,3.   

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.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Mesh:

Year:  2020        PMID: 31913465      PMCID: PMC7178416          DOI: 10.1093/bioinformatics/btz971

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


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