Solving mathematical programs with complementarity constraints with nonlinear solvers

Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/10838

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Campo DC	Valor	Idioma
dc.contributor.author	Rodrigues, Helena Sofia	-
dc.contributor.author	Monteiro, M. Teresa T.	-
dc.date.accessioned	2010-09-06T17:04:27Z	-
dc.date.available	2010-09-06T17:04:27Z	-
dc.date.issued	2006	-
dc.identifier.citation	SEEGER, Alberto, ed. lit. – “Recent advances in optimization”. Berlin : Springer, 2006. (Lecture notes in economics and mathematical systems ; 563). ISBN 3-540-28257-2. p. 415-424.	por
dc.identifier.isbn	3-540-28257-2	-
dc.identifier.issn	0075-8442	-
dc.identifier.uri	https://hdl.handle.net/1822/10838	-
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.	por
dc.description.sponsorship	(undefined)	por
dc.language.iso	eng	por
dc.publisher	Springer	por
dc.rights	openAccess	por
dc.title	Solving mathematical programs with complementarity constraints with nonlinear solvers	por
dc.type	conferencePaper	por
dc.peerreviewed	yes	por
oaire.citationStartPage	415	por
oaire.citationEndPage	424	por
oaire.citationVolume	563	por
dc.identifier.doi	10.1007/3-540-28258-0_24	por
sdum.journal	Lecture Notes in Economics and Mathematical Systems	por
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