Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/10838

TitleSolving mathematical programs with complementarity constraints with nonlinear solvers
Author(s)Rodrigues, Helena Sofia
Monteiro, M. Teresa T.
Issue date2006
PublisherSpringer
JournalLecture Notes in Economics and Mathematical Systems
CitationSEEGER, 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.
Abstract(s)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.
TypeConference paper
URIhttp://hdl.handle.net/1822/10838
ISBN3-540-28257-2
DOI10.1007/3-540-28258-0_24
ISSN0075-8442
Peer-Reviewedyes
AccessOpen access
Appears in Collections:LES/ALG - Capítulos de livros

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