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Solving Combinatorial Optimization Problems in Parallel

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Solving Combinatorial Optimization Problems in Parallel Synopsis

Solving combinatorial optimization problems can often lead to runtime growing exponentially as a function of the input size. But important real-world problems, industrial applications, and academic research challenges, may demand exact optimal solutions. In such situations, parallel processing can reduce the runtime from days or months, typical when one workstation is used, to a few minutes or even seconds.
Partners of the CEC-sponsored SCOOP Project (Solving Combinatorial Optimization Problems in Parallel) contributed, on invitation, to this book; much attention was paid to competent coverage of the topic and the style of writing.

Readers will include students, scientists, engineers, and professionals interested in the design and implementation of parallel algorithms for solving combinatorial optimization problems.

About This Edition

ISBN: 9783540610434
Publication date:
Author: Alfonso Ferreira, Panos Pardalos
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 280 pages
Series: Lecture Notes in Computer Science
Genres: Systems analysis and design
Cybernetics and systems theory
Numerical analysis
Maths for engineers
Business mathematics and systems
Discrete mathematics
Mathematical theory of computation
Business applications

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