# Any finite domain NLP benchmark tests?

 2 Hi all, I would like to perform some benchmarks over a set of nonlinear problems where some functions (objective or nonlinear constrains) are defined over restricted domains, e.g. an_objective - > min wrt x>0 x + 5y + 0.01 * x * sqrt(x) < -10 I would easily write my own set of tests (there are some already done), but since my solver is involved (http://openopt.org/ralg, latest stable release vs my current implementation vs some other solvers) it would be much better to have a set taken from an external source, preferably an article or a book. I have searched google with "finite domain non linear benchmark" but there are no appropriate results (I don't know about some non-free journals, however). So, does anyone know any appropriate source? Thank you in advance, D. asked 10 Apr '10, 09:43 Dmitrey 283●1●11●26 accept rate: 0%

 1 Assuming that by "finite domain" you mean bounded domain (as opposed to solving over a finite lattice), there are several libraries of NLP test problems linked off the NEOS wiki. Many (most?) of them are constrained, including nonlinear constraints (and, I think, some with nonconvex feasible regions). answered 10 Apr '10, 14:29 Paul Rubin ♦♦ 14.6k●4●12 accept rate: 19% Sorry, I meant bounded domain with some constraints defined over restricted domain, e.g. sqrt or log are not defined over R-. Unfortunately, I'm not familiar with the data formats there, and, as far as I understood, most of them are defined over whole R^nVariables. Thus I'm still searching for text description of the test cases with restricted domains, if anyone knows. (10 Apr '10, 15:17) Dmitrey
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Last updated: 10 Apr '10, 14:29