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

J. Charles Gilbert (Jean-Charles.Gilbertinria.fr)
Xavier Jonsson (Xavier_Jonssonmentorg.com)

Abstract: 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.

Keywords: benchmarking - collection of problems - CUTEr - Libopt - Modulopt - optimization - performance profile - scientific computing - solver comparison - testing environment

Category 1: Optimization Software and Modeling Systems (Optimization Software Benchmark )

Category 2: Optimization Software and Modeling Systems (Modeling Languages and Systems )

Citation: Submitted to "ACM Transactions on Mathematical Software".

Download: [Compressed Postscript][PDF]

Entry Submitted: 03/13/2007
Entry Accepted: 03/13/2007
Entry Last Modified: 12/17/2007

Modify/Update this entry