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Parallel Processing of Discrete Problems: v. 106
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Parallel Processing of Discrete Problems: v. 106 (Hardback)

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Synopsis

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.

BusinessBusiness & managementOperational researchComputing & ITComputer hardwareGrid & parallel computingComputing & ITComputer networking & communicationsDistributed systemsComputing & ITComputer scienceComputer architecture & logic designParallel processingScience & MathematicsMathematicsApplied mathematicsScience & MathematicsMathematicsDiscrete mathematics Publisher: Springer-Verlag New York Inc. Publication Date: 01/02/1999 ISBN-13: 9780387986647  Details: Type: Hardback Format: Books
Availability: To Order. Estimated despatch in 1-3 weeks.  

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