A filter algorithm: comparison with NLP solvers

DOI10.1080/00207160701203401zbMath1138.65048OpenAlexW2047499270WikidataQ114857760 ScholiaQ114857760MaRDI QIDQ5459749

Cândida Elisa P. Silva, M. Teresa T. Monteiro

Publication date: 29 April 2008

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/1822/17109

zbMATH Keywords

algorithmnumerical examplesnonlinear programmingline searchnonlinear constrained optimizationfilter methodinexact restoration

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30)

Related Items (1)

A new line search inexact restoration approach for nonlinear programming

Uses Software

• LOQO
• AMPL
• NPSOL

Cites Work

• Local convergence of an inexact-restoration method and numerical experiments
• Inexact-restoration algorithm for constrained optimization
• On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
• LOQO user's manual — version 3.10
• A Globally Convergent Filter Method for Nonlinear Programming
• Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence
• Line Search Filter Methods for Nonlinear Programming: Local Convergence
• Benchmarking optimization software with performance profiles.
• Nonlinear programming without a penalty function.
• Inexact-restoration method with Lagrangian tangent decrease and new merit function for nonlinear programming.

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