Computational Issues in High Performance Software for Nonlinear Optimization
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Published By Springer US

9780792398622

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Introduction

Computational Issues in High Performance Software for Nonlinear Optimization ◽

10.1007/978-0-585-26778-4_1 ◽

2007 ◽

pp. 1-2

Author(s):

A. Murli ◽

G. Toraldo

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Sequential Quadratic Programming Methods for Large-Scale Problems

Computational Issues in High Performance Software for Nonlinear Optimization ◽

10.1007/978-0-585-26778-4_8 ◽

2007 ◽

pp. 127-142 ◽

Cited By ~ 2

Author(s):

Walter Murray

Keyword(s):

Quadratic Programming ◽

Sequential Quadratic Programming ◽

Large Scale ◽

Large Scale Problems

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A Comparison of Large Scale Mixed Complementarity Problem Solvers

Computational Issues in High Performance Software for Nonlinear Optimization ◽

10.1007/978-0-585-26778-4_2 ◽

2007 ◽

pp. 3-25 ◽

Cited By ~ 4

Author(s):

Stephen C. Billups ◽

Steven P. Dirkse ◽

Michael C. Ferris

Keyword(s):

Complementarity Problem ◽

Large Scale ◽

Mixed Complementarity Problem ◽

Problem Solvers

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On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent Algorithm for Optimization with General Nonlinear Inequality Constraints and Simple Bounds

Computational Issues in High Performance Software for Nonlinear Optimization ◽

10.1007/978-0-585-26778-4_4 ◽

2007 ◽

pp. 41-69 ◽

Cited By ~ 2

Author(s):

A. R. Conn ◽

N. Gould ◽

PH. L. Toint

Keyword(s):

Inequality Constraints ◽

Globally Convergent ◽

Nonlinear Inequality ◽

Simple Bounds ◽

Nonlinear Inequality Constraints ◽

Outer Iteration ◽

Convergent Algorithm

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A Scalable Parallel Interior Point Algorithm for Stochastic Linear Programming and Robust Optimization

Computational Issues in High Performance Software for Nonlinear Optimization ◽

10.1007/978-0-585-26778-4_9 ◽

2007 ◽

pp. 143-158

Author(s):

Dafeng Yang ◽

Stavros A. Zenios

Keyword(s):

Linear Programming ◽

Robust Optimization ◽

Interior Point ◽

Interior Point Algorithm ◽

Stochastic Linear Programming

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Numerical Experiences with New Truncated Newton Methods in Large Scale Unconstrained Optimization

Computational Issues in High Performance Software for Nonlinear Optimization ◽

10.1007/978-0-585-26778-4_5 ◽

2007 ◽

pp. 71-87 ◽

Cited By ~ 1

Author(s):

Stefano Lucidi ◽

Massimo Roma

Keyword(s):

Unconstrained Optimization ◽

Large Scale ◽

Newton Methods ◽

Truncated Newton Methods ◽

Truncated Newton ◽

Large Scale Unconstrained Optimization

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Impact of Partial Separability on Large-Scale Optimization

Computational Issues in High Performance Software for Nonlinear Optimization ◽

10.1007/978-0-585-26778-4_3 ◽

2007 ◽

pp. 27-40 ◽

Cited By ~ 1

Author(s):

Ali Bouaricha ◽

Jorge J. Moré

Keyword(s):

Large Scale ◽

Large Scale Optimization ◽

Partial Separability ◽

Scale Optimization

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Sparse Linear Least Squares Problems in Optimization

Computational Issues in High Performance Software for Nonlinear Optimization ◽

10.1007/978-0-585-26778-4_6 ◽

2007 ◽

pp. 89-110

Author(s):

Pontus Matstoms

Keyword(s):

Least Squares ◽

Linear Least Squares ◽

Least Squares Problems ◽

Linear Least Squares Problems

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Simulated Annealing and Genetic Algorithms for the Facility Layout Problem: A Survey

Computational Issues in High Performance Software for Nonlinear Optimization ◽

10.1007/978-0-585-26778-4_7 ◽

2007 ◽

pp. 111-126 ◽

Cited By ~ 1

Author(s):

Thelma D. Mavridou ◽

Panos M. Pardalos

Keyword(s):

Genetic Algorithms ◽

Simulated Annealing ◽

Facility Layout ◽

Layout Problem ◽

Facility Layout Problem

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Computational Issues in High Performance Software for Nonlinear OptimizationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer US

Introduction

Sequential Quadratic Programming Methods for Large-Scale Problems

A Comparison of Large Scale Mixed Complementarity Problem Solvers

On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent Algorithm for Optimization with General Nonlinear Inequality Constraints and Simple Bounds

A Scalable Parallel Interior Point Algorithm for Stochastic Linear Programming and Robust Optimization

Numerical Experiences with New Truncated Newton Methods in Large Scale Unconstrained Optimization

Impact of Partial Separability on Large-Scale Optimization

Sparse Linear Least Squares Problems in Optimization

Simulated Annealing and Genetic Algorithms for the Facility Layout Problem: A Survey

Computational Issues in High Performance Software for Nonlinear Optimization
Latest Publications