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This title in other editions

Computational Issues in High Performance Software for Nonlinear Optimization

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Computational Issues in High Performance Software for Nonlinear Optimization Cover

 

Synopses & Reviews

Publisher Comments:

Computational Issues in High Performance Software for Nonlinear Research brings together in one place important contributions and up-to-date research results in this important area.
Computational Issues in High Performance Software for Nonlinear Research serves as an excellent reference, providing insight into some of the most important research issues in the field.

Book News Annotation:

A special issue of Computational Optimization and Applications, v.7, no.1 (1997), containing papers from a June 1995 conference held in Capri, Italy. Papers overview recent developments related to software for nonlinear optimization, reflecting different perspectives on well-established algorithms for nonlinear problems, fast algorithms for large-scale optimization problems, direct methods for solution of sparse linear algebra problems, and LCP solvers. No index.
Annotation c. Book News, Inc., Portland, OR (booknews.com)

Synopsis:

Computational Issues in High Performance Software for Nonlinear Research brings together in one place important contributions and up-to-date research results in this important area. Computational Issues in High Performance Software for Nonlinear Research serves as an excellent reference, providing insight into some of the most important research issues in the field.

Table of Contents

Introduction; A. Murli, G. Toraldo. A Comparison of Large Scale Mixed Complimentarity Problem Solvers; S.C. Billups, et al. Impact of Partial Separability on Large Scale Optimization; A. Bouaricha, J.J. More. On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent Algorithm with General Nonlinear Inequality Constraints and Simple Bounds; A.R. Conn, et al. Numerical Experiences with New Truncated Newton Methods in Large Scale Unconstrained Optimization; S. Lucidi, M. Roma. Sparse Linear Least Squares Problems in Optimization; P. Matstoms. Simulated Annealing and Genetic Algorithms for the Facility Layout problem: A Survey; T.D. Mavridou, P.M. Pardalos. Sequential Quadratic Programming Methods for Large-Scale Problems; W. Murray. A Scalable Parallel Interior Point Algorithm for Stochastic Linear Programming and Robust Optimization; Dafeng Yang, S.A. Zenios.

Product Details

ISBN:
9780792398622
Other:
Murli, A.
Publisher:
Springer
Editor:
Murli, Almerico
Editor:
Toraldo, Gerardo
Author:
Toraldo, Gerardo
Author:
Murli, Almerico
Location:
Boston, MA
Subject:
General
Subject:
Linear Programming
Subject:
Computer software
Subject:
Nonlinear theories
Subject:
Operations Research
Subject:
Computer Science
Subject:
Mathematics-Computer
Subject:
Operations Research, Management Science
Subject:
Operations Research/Decision Theory
Subject:
Computer Science, general
Subject:
Operation Research/Decision Theory
Subject:
Mathematics
Subject:
Language, literature and biography
Subject:
mathematics and statistics
Copyright:
Edition Number:
1
Edition Description:
Reprinted from COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 7:1, 1997
Publication Date:
19970131
Binding:
HARDCOVER
Language:
English
Illustrations:
Yes
Pages:
161
Dimensions:
240 x 160 mm 920 gr

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Science and Mathematics » Mathematics » Computer

Computational Issues in High Performance Software for Nonlinear Optimization New Hardcover
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$223.50 In Stock
Product details 161 pages Kluwer Academic Publishers - English 9780792398622 Reviews:
"Synopsis" by , Computational Issues in High Performance Software for Nonlinear Research brings together in one place important contributions and up-to-date research results in this important area. Computational Issues in High Performance Software for Nonlinear Research serves as an excellent reference, providing insight into some of the most important research issues in the field.
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