Coramin v. 0.1 Beta

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Abstract

Coramin is a package that provides tools for developing tailored algorithms for mixed-integer nonlinear programming problems. This software includes the ability to: - Generate convex or piecewise relaxations of nonlinear optimization problems, addressing bilinear, quadratic, and convex/concave univariate functions - Perform optimization-based bounds tightening on all or subsets of the problem variables - Generate polyhedral envelopes for multi-linear functions
Developers:
Bynum, Michael [1] Castillo, Andrea [1] Laird, Carl [1] Watson, Jean-Paul [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Release Date:
2019-03-06
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Python
Version:
v. 0.1
Licenses:
BSD 3-clause "New" or "Revised" License
Sponsoring Org.:
Code ID:
23719
Site Accession Number:
SCR#2374
Research Org.:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Country of Origin:
United States

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Citation Formats

Bynum, Michael, Castillo, Andrea, Laird, Carl, and Watson, Jean-Paul. Coramin v. 0.1 Beta. Computer Software. https://github.com/Coramin/Coramin. USDOE. 06 Mar. 2019. Web. doi:10.11578/dc.20190311.1.
Bynum, Michael, Castillo, Andrea, Laird, Carl, & Watson, Jean-Paul. (2019, March 06). Coramin v. 0.1 Beta. [Computer software]. https://github.com/Coramin/Coramin. https://doi.org/10.11578/dc.20190311.1.
Bynum, Michael, Castillo, Andrea, Laird, Carl, and Watson, Jean-Paul. "Coramin v. 0.1 Beta." Computer software. March 06, 2019. https://github.com/Coramin/Coramin. https://doi.org/10.11578/dc.20190311.1.
@misc{ doecode_23719,
title = {Coramin v. 0.1 Beta},
author = {Bynum, Michael and Castillo, Andrea and Laird, Carl and Watson, Jean-Paul},
abstractNote = {Coramin is a package that provides tools for developing tailored algorithms for mixed-integer nonlinear programming problems. This software includes the ability to: - Generate convex or piecewise relaxations of nonlinear optimization problems, addressing bilinear, quadratic, and convex/concave univariate functions - Perform optimization-based bounds tightening on all or subsets of the problem variables - Generate polyhedral envelopes for multi-linear functions},
doi = {10.11578/dc.20190311.1},
url = {https://doi.org/10.11578/dc.20190311.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20190311.1}},
year = {2019},
month = {mar}
}