New limited memory bundle method for large-scale nonsmooth optimization
type: Item
instance of: scholarly article
title: New limited memory bundle method for large-scale nonsmooth optimization
zbMATH Open document ID: 1068.90101
DOI: 10.1080/10556780410001689225
author: M. Haarala
author: Marko M. Mäkelä
author: Kaisa Miettinen
publication date: 2005-07-18T00:00:00Z
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 90C56
zbMATH DE Number: 2187488
zbMATH Keywords: nondifferentiable programming
zbMATH Keywords: large-scale optimization
zbMATH Keywords: bundle methods
zbMATH Keywords: variable metric methods
zbMATH Keywords: limited memory methods
zbMATH Keywords: test problems
Wikidata QID: Q109315022
describes a project that uses: ve08
describes a project that uses: L-BFGS
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1080/10556780410001689225
OpenAlex ID: W1963488456
cites work: Comparison of formulations and solution methods for image restoration problems
cites work: Q4004158
cites work: Survey of Bundle Methods for Nonsmooth Optimization
cites work: Globally convergent variable metric method for convex nonsmooth unconstrained minimization
cites work: Gobally convergent variable metric method for nonconvex nondifferentiable unconstrained minimization
cites work: Representations of quasi-Newton matrices and their use in limited memory methods
cites work: Partitioned variable metric updates for large structured optimization problems
cites work: BFGS with Update Skipping and Varying Memory
cites work: An Ellipsoid Trust Region Bundle Method for Nonsmooth Convex Minimization
cites work: An Efficient Method to Solve the Minimax Problem Directly
cites work: On the limited memory BFGS method for large scale optimization
cites work: Benchmarking optimization software with performance profiles.
published in: Optimization Methods \& Software
description: scientific article; zbMATH DE number 2187488