Parallel Computing And Mathematical Optimization
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Parallel Computing and Mathematical Optimization
Author: Manfred Grauer
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
This special volume contains the Proceedings of a Workshop on "Parallel Algorithms and Transputers for Optimization" which was held at the University of Siegen, on November 9, 1990. The purpose of the Workshop was to bring together those doing research on 2.lgorithms for parallel and distributed optimization and those representatives from industry and business who have an increasing demand for computing power and who may be the potential users of nonsequential approaches. In contrast to many other conferences, especially North-American, on parallel processing and supercomputers the main focus of the contributions and discussion was "problem oriented". This view reflects the following philosophy: How can the existing computing infrastructure (PC's, workstations, local area networks) of an institution or a company be used for parallel and/or distributed problem solution in optimization. This volume of the LECfURE NOTES ON ECONOMICS AND MA THEMA TICAL SYSTEMS contains most of the papers presented at the workshop, plus some additional invited papers covering other important topics related to this workshop. The papers appear here grouped according to four general areas. (1) Solution of optimization problems using massive parallel systems (data parallelism). The authors of these papers are: Lootsma; Gehne. (II) Solution of optimization problems using coarse-grained parallel approaches on multiprocessor systems (control parallelism). The authors of these papers are: Bierwirth, Mattfeld, and Stoppler; Schwartz; Boden, Gehne, and Grauer; and Taudes and Netousek.
Parallel Optimization
Author: Yair Censor
language: en
Publisher: Oxford University Press, USA
Release Date: 1997
This book offers a unique pathway to methods of parallel optimization by introducing parallel computing ideas into both optimization theory and into some numerical algorithms for large-scale optimization problems. The three parts of the book bring together relevant theory, careful study of algorithms, and modeling of significant real world problems such as image reconstruction, radiation therapy treatment planning, financial planning, transportation and multi-commodity network flow problems, planning under uncertainty, and matrix balancing problems.
Parallel Computing and Mathematical Optimization
The volume contains the proceedings of a workshop on "Parallel Algorithms and Transputers for Optimization" which was held at the University of Siegenon November 9, 1991 plus some invited papers covering topics related to this workshop. In contrast to many other publications on parallel processing and supercomputers, the main focus of the contributions were "problem oriented." This view reflects the following philosophy: How can the existing computing infrastructure (PCs, workstations, local area networks) of an institution or a company be used for parallel and distribution computation. The volume contains 12 papers of 20 authors from four general areas: (I) the use of massive parallel systems (data parallelism), (II) the use of coarse-grained parallel approaches on multiprocessor systems (control parallelism), (III) OpTiX - a system for parallel nonlinear optimization and (IV) using concepts from nature for parallel optimization. Computional aspects of the work described were carried out on a broad spectrum of parallel architectures ranging from shared-memory vector multiprocessorsto networks of PCs or workstations and distributed memory multiprocessor systems such as networks of transputers or the SUPRENUM.