Solving mathematical programs with complementarity constraints with nonlinear solvers

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

Título:	Solving mathematical programs with complementarity constraints with nonlinear solvers
Autor(es):	Rodrigues, Helena Sofia Monteiro, M. Teresa T.
Data:	2006
Editora:	Springer
Revista:	Lecture Notes in Economics and Mathematical Systems
Citação:	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.
Resumo(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.
Tipo:	Artigo em ata de conferência
URI:	https://hdl.handle.net/1822/10838
ISBN:	3-540-28257-2
DOI:	10.1007/3-540-28258-0_24
ISSN:	0075-8442
Arbitragem científica:	yes
Acesso:	Acesso aberto
Aparece nas coleções:	LES/ALG - Capítulos de livros