Solving mathematical programs with complementarity constraints with nonlinear solvers

Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/16510

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DC Field	Value	Language
dc.contributor.author	Rodrigues, Helena Sofia	pt
dc.contributor.author	Monteiro, M. Teresa T.	pt
dc.date.accessioned	2016-12-14T10:03:20Z	-
dc.date.issued	2006	-
dc.identifier.isbn	978-3-540-28257-0	pt
dc.identifier.uri	http://hdl.handle.net/10773/16510	-
dc.description.abstract	MPCC can be solved with specific MPCC codes or in its nonlinear equivalent formulation (NLP) using NLP solvers. Two NLP solvers - NPSOL and the line search filter SQP - are used to solve a collection of test problems in AMPL. Both are based on SQP (Sequential Quadratic Programming) philosophy but the second one uses a line search filter scheme.	pt
dc.language.iso	eng	pt
dc.publisher	Springer Verlag	pt
dc.rights	restrictedAccess	por
dc.subject	Mathematical Programs with complementarity constraints	pt
dc.subject	Nonlinear solvers	pt
dc.title	Solving mathematical programs with complementarity constraints with nonlinear solvers	pt
dc.type	bookPart	pt
degois.publication.firstPage	415	pt
degois.publication.issue	Part IV: Industrial Applications and Numerical Testing	pt
degois.publication.lastPage	424	pt
degois.publication.location	Berlin, Heidelberg	pt
degois.publication.title	Lecture Notes in Economics and Mathematical Systems: Recent Advances in Optimization	pt
dc.date.embargo	10000-01-01	-
dc.identifier.doi	10.1007/3-540-28258-0_24	pt
Appears in Collections:	CIDMA - Capítulo de livro

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