Zustand: Gut | Seiten: 576 | Sprache: Englisch | Produktart: B�cher | Recent technological innovations with the introduction of parallel computer architectures are having a significant impact on every area of scientific computing where large-scale problems are attacked. This comprehensive book provides an introduction to th methods of parallel optimization by introducing parallel computing ideas and techniques into both optimization theory and numerical algorithms for large-scale optimization problems. It also examines significant, broad areas of application in fields as diverse as finance, biomedical and transportation where the problems are particularly suitable for solution on parallel machines, and where substantial progress has been made in recent years with the application of parallel optimization algorithms. The material presented in this book leads to implementable parallel algorithms that have undergone the scrutiny of implementation on a variety of parallel architectures.

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Bibliographic Details

Title

Parallel Optimization: Theory, Algorithms, and Applications

Publisher

OXFORD UNIV PR

Publication Date

1998

Language

English

ISBN 10

019510062X

ISBN 13

9780195100624

Binding

Hardcover

Condition

Gut

Seller catalogs

B�cher

About this title

Synopsis

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.

About the Author

Yair Censor is at University of Haifa. Stavros Zenios is at University of Cyprus.

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