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Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > Parallel processing

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Solving Combinatorial Optimization Problems in Parallel Methods and Techniques - Methods and Techniques (Paperback, 1996 ed.) Loot Price: R1,651

Discovery Miles 16 510

Repayment Terms: R155 pm x 12*

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Solving Combinatorial Optimization Problems in Parallel Methods and Techniques - Methods and Techniques (Paperback, 1996 ed.):...

Solving Combinatorial Optimization Problems in Parallel Methods and Techniques - Methods and Techniques (Paperback, 1996 ed.)

Alfonso Ferreira, Panos Pardalos

Series: Lecture Notes in Computer Science, 1054

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Loot Price R1,651 Discovery Miles 16 510 | Repayment Terms: R155 pm x 12*

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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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Computer Science, 1054
Release date:	March 1996
First published:	1996
Editors:	Alfonso Ferreira • Panos Pardalos
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Paperback
Pages:	280
Edition:	1996 ed.
ISBN-13:	978-3-540-61043-4
Categories:	Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > Parallel processing Promotions
LSN:	3-540-61043-X
Barcode:	9783540610434