Analysis of stochastic problem decomposition algorithms in computational grids
type: Item
instance of: scholarly article
title: Analysis of stochastic problem decomposition algorithms in computational grids
zbMATH Open document ID: 1163.90684
author: Santiago Cerisola
author: Rafael Palacios
author: Jesus M. Latorre
author: Andres Ramos
published in: Annals of Operations Research
publication date: 2009-06-25T00:00:00Z
Mathematics Subject Classification ID: 90C15
Mathematics Subject Classification ID: 90C05
zbMATH DE Number: 5570713
zbMATH Keywords: stochastic programming
zbMATH Keywords: linear programming
zbMATH Keywords: Benders decomposition
zbMATH Keywords: grid computing
zbMATH Keywords: performance analysis
describes a project that uses: FATCOP
describes a project that uses: NetSolve
describes a project that uses: SIPLIB
describes a project that uses: Globus Toolkit
describes a project that uses: SUTIL
MaRDI profile type: Publication
full work available at URL: s10479-008-0476-1
OpenAlex ID: W2007489225
cites work: Solving large quadratic assignment problems on computational grids
cites work: Partitioning procedures for solving mixed-variables programming problems
cites work: A parallel implementation of the nested decomposition algorithm for multistage stochastic linear programs
cites work: Introduction to Stochastic Programming
cites work: Parallelizing the Dual Simplex Method
cites work: FATCOP 2.0: Advanced features in an opportunistic mixed integer programming solver
cites work: Q3377692
cites work: Parallelization and aggregation of nested Benders decomposition
cites work: Parallel Decomposition: Results for Staircase Linear Programs
cites work: Some Computer Organizations and Their Effectiveness
cites work: Solving large MINLPs on computational grids
cites work: Q4864234
cites work: Decomposition algorithms for stochastic programming on a computational grid
cites work: A New Scenario Decomposition Method for Large-Scale Stochastic Optimization
cites work: Q4860123
cites work: Scalable parallel Benders decomposition for stochastic linear programming
cites work: A decomposition methodology applied to the multi-area optimal power flow problem
cites work: Scenarios and Policy Aggregation in Optimization Under Uncertainty
cites work: The Efficiency of the Simplex Method: A Survey
cites work: L-Shaped Linear Programs with Applications to Optimal Control and Stochastic Programming
DOI: 10.1007/S10479-008-0476-1
description: scientific article; zbMATH DE number 5570713