Superlinearly convergent exact penalty methods with projected structured secant updates for constrained nonlinear least squares
type: Item
instance of: scholarly article
title: Superlinearly convergent exact penalty methods with projected structured secant updates for constrained nonlinear least squares
zbMATH Open document ID: 1321.90126
author: Narges Bidabadi
author: Nezam Mahdavi-Amiri
published in: Journal of Optimization Theory and Applications
publication date: 2014-11-03T00:00:00Z
Mathematics Subject Classification ID: 90C30
zbMATH DE Number: 6363569
zbMATH Keywords: projected structured secant updates
zbMATH Keywords: constrained nonlinear least squares
zbMATH Keywords: exact penalty methods
zbMATH Keywords: projected Hessian updates
describes a project that uses: ve08
MaRDI profile type: Publication
full work available at URL: s10957-013-0438-x
OpenAlex ID: W2159860279
cites work: Variational Methods for Non-Linear Least-Squares
cites work: The estimation of the hessian matrix in nonlinear least squares problems with non-zero residuals
cites work: Convergence of a Regularized Euclidean Residual Algorithm for Nonlinear Least-Squares
cites work: Solving the nonlinear least square problem: Application of a general method
cites work: An Adaptive Nonlinear Least-Squares Algorithm
cites work: Convergence theory for the structured BFGS secant method with an application to nonlinear least squares
cites work: Convergence Theorems for Least-Change Secant Update Methods
cites work: Hybrid Methods for Nonlinear Least Squares
cites work: A Multidimensional Filter Algorithm for Nonlinear Equations and Nonlinear Least-Squares
cites work: Local convergence analysis for partitioned quasi-Newton updates
cites work: On the convergence of an inexact Gauss-Newton trust-region method for nonlinear least-squares problems with simple bounds
cites work: A secant method for nonlinear least-squares minimization
cites work: LOCAL AND SUPERLINEAR CONVERGENCE OF STRUCTURED QUASI-NEWTON METHODS FOR NONLINEAR OPTIMIZATION
cites work: Quadratic and superlinear convergence of the Huschens method for nonlinear least squares problems
cites work: A structured secant method based on a new quasi-Newton equation for nonlinear least squares problems
cites work: Adaptive algorithm for constrained least-squares problems
cites work: A primal-dual interior-point algorithm for nonlinear least squares constrained problems
cites work: Augmented penalty algorithms based on BFGS secant approximations and trust regions
cites work: Constrained nonlinear least squares: an exact penalty approach with projected structured quasi-Newton updates
cites work: Superlinearly convergent exact penalty projected structured hessian updating schemes for constrained nonlinear least squares: asymptotic analysis
cites work: A two-step superlinearly convergent projected structured BFGS method for constrained nonlinear least squares
cites work: Second-order conditions for an exact penalty function
cites work: Nonlinear programming via an exact penalty function: Asymptotic analysis
cites work: Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization
cites work: Nonlinear programming via an exact penalty function: Global analysis
cites work: Operations research and optimization (ORO)
cites work: On Secant Updates for Use in General Constrained Optimization
cites work: Test examples for nonlinear programming codes
cites work: More test examples for nonlinear programming codes
cites work: On Generating Test Problems for Nonlinear Programming Algorithms
cites work: Globally convergent variable metric method for convex nonsmooth unconstrained minimization
cites work: Benchmarking optimization software with performance profiles.
DOI: 10.1007/S10957-013-0438-X
Recommended article: Superlinearly convergent exact penalty projected structured hessian updating schemes for constrained nonlinear least squares: asymptotic analysis
Recommended article: Operations research and optimization (ORO)
Recommended article: A two-step superlinearly convergent projected structured BFGS method for constrained nonlinear least squares
Recommended article: A superlinearly convergent projection method for constrained systems of nonlinear equations
Recommended article: A robust combined trust region–line search exact penalty projected structured scheme for constrained nonlinear least squares
Recommended article: A super-linear convergent gradient projection type algorithm for linearly constrained problems
Recommended article: Q4730701
Recommended article: Q4714836
Recommended article: Q4887667
Recommended article: On the superlinear local convergence of a penalty-free method for nonlinear semidefinite programming
reviewed by: Stephan Dempe
description: scientific article; zbMATH DE number 6363569