A mixed superlinearly convergent algorithm with nonmonotone search for constrained optimizations
type: Item
instance of: scholarly article
title: A mixed superlinearly convergent algorithm with nonmonotone search for constrained optimizations
zbMATH Open document ID: 0970.90103
author: Wei Wang
author: Yifan Xu
published in: Applied Mathematics. Series B (English Edition)
publication date: 2000-12-07T00:00:00Z
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 90C55
Mathematics Subject Classification ID: 65K05
zbMATH DE Number: 1491132
zbMATH Keywords: sequential quadratic programming
zbMATH Keywords: constrained optimizations
MaRDI profile type: Publication
full work available at URL: s11766-000-0028-1
OpenAlex ID: W2086075137
cites work: Local analysis of Newton-type methods for variational inequalities and nonlinear programming
cites work: A surperlinearly convergent algorithm for constrained optimization problems
cites work: Superlinearly convergent variable metric algorithms for general nonlinear programming problems
cites work: Quadratically and superlinearly convergent algorithms for the solution of inequality constrained minimization problems
cites work: Sequential Quadratic Programming with Penalization of the Displacement
cites work: Generalized equations and their solutions, part II: Applications to nonlinear programming
cites work: A Nonmonotone Line Search Technique for Newton’s Method
cites work: The watchdog technique for forcing convergence in algorithms for constrained optimization
DOI: 10.1007/S11766-000-0028-1
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description: scientific article; zbMATH DE number 1491132