A secant algorithm with line search filter method for nonlinear optimization
type: Item
instance of: scholarly article
title: A secant algorithm with line search filter method for nonlinear optimization
zbMATH Open document ID: 1205.90007
author: Chao Gu
author: Detong Zhu
published in: Applied Mathematical Modelling
publication date: 2011-02-13T00:00:00Z
Mathematics Subject Classification ID: 90-04
Mathematics Subject Classification ID: 90C30
zbMATH DE Number: 5851041
zbMATH Keywords: line search
zbMATH Keywords: filter method
zbMATH Keywords: secant algorithm
zbMATH Keywords: Lagrangian function
zbMATH Keywords: BFGS update
zbMATH Keywords: convergence
zbMATH Keywords: maratos effect
describes a project that uses: Ipopt
MaRDI profile type: Publication
full work available at URL: j.apm.2010.07.042
OpenAlex ID: W2087534855
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cites work: Nonlinear programming without a penalty function.
cites work: Line Search Filter Methods for Nonlinear Programming: Local Convergence
cites work: Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence
cites work: On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
cites work: A filter interior-point algorithm with projected Hessian updating for nonlinear optimization
cites work: Numerical Optimization
cites work: Test examples for nonlinear programming codes
DOI: 10.1016/J.APM.2010.07.042
description: scientific article; zbMATH DE number 5851041