LIBOPT - An environment for testing solvers on heterogeneous collections of problems - Version 1.0

Fuente: arXiv
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Main Authors: Gilbert, Jean Charles, Jonsson, Xavier
Format: Preprint
Published: 2007
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author Gilbert, Jean Charles
Jonsson, Xavier
author_facet Gilbert, Jean Charles
Jonsson, Xavier
contents The Libopt environment is both a methodology and a set of tools that can be used for testing, comparing, and profiling solvers on problems belonging to various collections. These collections can be heterogeneous in the sense that their problems can have common features that differ from one collection to the other. Libopt brings a unified view on this composite world by offering, for example, the possibility to run any solver on any problem compatible with it, using the same Unix/Linux command. The environment also provides tools for comparing the results obtained by solvers on a specified set of problems. Most of the scripts going with the Libopt environment have been written in Perl.
format Preprint
id arxiv_https___arxiv_org_abs_cs_0703025
institution arXiv
publishDate 2007
record_format arxiv
spellingShingle LIBOPT - An environment for testing solvers on heterogeneous collections of problems - Version 1.0
Gilbert, Jean Charles
Jonsson, Xavier
Mathematical Software
Numerical Analysis
Optimization and Control
The Libopt environment is both a methodology and a set of tools that can be used for testing, comparing, and profiling solvers on problems belonging to various collections. These collections can be heterogeneous in the sense that their problems can have common features that differ from one collection to the other. Libopt brings a unified view on this composite world by offering, for example, the possibility to run any solver on any problem compatible with it, using the same Unix/Linux command. The environment also provides tools for comparing the results obtained by solvers on a specified set of problems. Most of the scripts going with the Libopt environment have been written in Perl.
title LIBOPT - An environment for testing solvers on heterogeneous collections of problems - Version 1.0
topic Mathematical Software
Numerical Analysis
Optimization and Control
url https://arxiv.org/abs/cs/0703025