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Parallel Processing of Discrete Problems (The IMA Volumes in Mathematics and its Applications) (v. 106) [Hardcover]

Panos M. Pardalos (Editor)

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Book Description

Publication Date: January 15, 1999 | ISBN-10: 0387986642 | ISBN-13: 978-0387986647 | Edition: 1

In the past two decades, breakthroughs in computer technology have made a tremendous impact on optimization. In particular, availability of parallel computers has created substantial interest in exploring the use of parallel processing for solving discrete and global optimization problems. The chapters in this volume cover a broad spectrum of recent research in parallel processing of discrete and related problems. The topics discussed include distributed branch-and-bound algorithms, parallel genetic algorithms for large scale discrete problems, simulated annealing, parallel branch-and-bound search under limited-memory constraints, parallelization of greedy randomized adaptive search procedures, parallel optical models of computing, randomized parallel algorithms, general techniques for the design of parallel discrete algorithms, parallel algorithms for the solution of quadratic assignment and satisfiability problems. The book will be a valuable source of information to faculty, students and researchers in combinatorial optimization and related areas.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } In the past two decades, breakthroughs in computer technology have made a tremendous impact on optimization. In particular, availability of parallel computers has created substantial interest in exploring the use of parallel processing for solving discrete and global optimization problems. The chapters in this volume cover a broad spectrum of recent research in parallel processing of discrete and related problems. The topics discussed include distributed branch-and-bound algorithms, parallel genetic algorithms for large scale discrete problems, simulated annealing, parallel branch-and-bound search under limited-memory constraints, parallelization of greedy randomized adaptive search procedures, parallel optical models of computing, randomized parallel algorithms, general techniques for the design of parallel discrete algorithms, parallel algorithms for the solution of quadratic assignment and satisfiability problems. The book will be a valuable source of information to faculty, students and researchers in combinatorial optimization and related areas.

Product Details

Hardcover: 235 pages
Publisher: Springer; 1 edition (January 15, 1999)
Language: English
ISBN-10: 0387986642
ISBN-13: 978-0387986647
Product Dimensions: 9.3 x 6.1 x 0.7 inches
Shipping Weight: 1 pounds
Amazon Best Sellers Rank: #5,528,028 in Books (See Top 100 in Books)

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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!

Inside This Book (learn more)

First Sentence:
A wide range of optimal selection problems, in diverse scientific areas, can be formulated as non linear constrained optimization problems. Read the first page

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
best subpath, backtracking architecture, multidimensional assignment problem, visiting probability, isolating lemma, distributed branch and bound, parallel local search, maximum weighted clique, algorithms for satisfiability, processor indices, optical buses, stripe heights, load balancing operation, perfect matching problem, minimum weight perfect matching, processor pattern, quadratic assignment problem, reconfigurable mesh, data entropy, finite behavior, cost bounds, polylogarithmic time, partial permutation, greedy randomized adaptive search procedure, bounding methods

Key Phrases - Capitalized Phrases (CAPs): (learn more)
American Mathematical Society, Kluwer Academic Publishers, New York, Discrete Applied Mathematics, University of Wisconsin, International Conference, Journal of Global Optimization, Information Processing Letters, International Parallel Processing Symposium, San Diego, Theory of Computing, Artech House, Englewood Cliffs, International Symposium, Parallel Davis-Putnam, Prentice Hall, Sandia National Laboratories, State of the Art, University of Florida

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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!

Citations (learn more)

This book cites 100 books:

Mathematics in Industrial Problems: Part 10 (The IMA Volumes in Mathematics and its Applications/100) by Avner Friedman on 5 pages
Graph Theory and Sparse Matrix Computation (The IMA Volumes in Mathematics and its Applications) by Alan George on page 57, and Back Matter
Discrete Mathematics by Vinay Kumar on page 73, and page 158
Parallel Processing by Richard Kendall Miller on page 56, and page 195
Discrete Mathematics by Krishna R. Kumar on page 73, and page 158

See all 100 books this book cites

29 books cite this book:

Models for Parallel and Distributed Computation: Theory, Algorithmic Techniques and Applications (Applied Optimization) by R. Correa on page 203
Frontiers in Global Optimization (Nonconvex Optimization and Its Applications (closed)) by Christodoulos A. Floudas on page 401
Mathematical Approaches for Emerging and Reemerging Infectious Diseases: An Introduction (The IMA Volumes in Mathematics and its Applications) by Carlos Castillo-Chavez in Back Matter
Mathematical Approaches for Emerging and Reemerging Infectious Diseases: Models, Methods, and Theory (The IMA Volumes in Mathematics and its Applications) by Carlos Castillo-Chavez in Back Matter
Mathematics of the Internet by Brenda Dietrich in Back Matter

See all 29 books citing this book

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