Regularized method of linearization for minimizing a convex function on a polyhedral set with errors in the input data
type: Item
instance of: scholarly article
title: Regularized method of linearization for minimizing a convex function on a polyhedral set with errors in the input data
zbMATH Open document ID: 0679.90049
author: N. T. Chirich
published in: Moscow University Computational Mathematics and Cybernetics
publication date: 1987-01-01T00:00:00Z
Mathematics Subject Classification ID: 90C25
Mathematics Subject Classification ID: 65K05
zbMATH DE Number: 4114382
zbMATH Keywords: errors in the input data
zbMATH Keywords: polyhedral set
zbMATH Keywords: method of linearization
zbMATH Keywords: gradients
zbMATH Keywords: Lagrange multipliers
zbMATH Keywords: strong convergence
MaRDI profile type: Publication
Recommended article: A regularized continuous linearization method for minimization problems with inexact initial data.
Recommended article: Q5754129
Recommended article: Regularized linearization method with errors in the initial data
Recommended article: Regularized optimization methods for convex MINLP problems
Recommended article: On a method of iterative regularization for convex minimization problems
Recommended article: Error Bound and Reduced-Gradient Projection Algorithms for Convex Minimization over a Polyhedral Set
Recommended article: Q3035145
Recommended article: On the application of the regularization method for the correction of improper problems of convex programming
Recommended article: On the construction of regularizing algorithms for the correction of improper convex programming problems
Recommended article: Q4346410
description: scientific article; zbMATH DE number 4114382