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Solving Combinatorial Optimization Problems in Parallel Methods and Techniques: Methods and Techniques -

Anglų
1996-03-27
63,51 € 84,68 €

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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. ... Visas aprašymas

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Aprašymas

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.

Daugiau informacijos

Leidėjas Springer Berlin Heidelberg
Series Lecture Notes in Computer Science
Išleidimo metai 1996
Viršelio tipas Minkšti viršeliai
EAN 9783540610434
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63,51 € 84,68 €