Published by Springer Berlin Heidelberg, 1996
ISBN 10: 354061043X ISBN 13: 9783540610434
Language: English
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 292 | Sprache: Englisch | Produktart: Sonstiges.
Published by Springer Verlag, Secaucus, New Jersey, U.S.A., 1996
ISBN 10: 354061043X ISBN 13: 9783540610434
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Published by Springer Berlin, 1996
Language: English
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Add to basketSoftcover. Condition: Gut. 274 Computerwissenschaft kombinatorische Optimierungsprobleme Guter Zustand/ Good With figures. Ex-Library.Einband mit Gebrauchsspuren. ha1060028 Sprache: Englisch Gewicht in Gramm: 450.
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Published by Springer Berlin Heidelberg, 1996
ISBN 10: 354061043X ISBN 13: 9783540610434
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Mär 1996, 1996
ISBN 10: 354061043X ISBN 13: 9783540610434
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch.
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Add to basketpaperback. Condition: New. In shrink wrap. Looks like an interesting title!
Published by Springer Berlin Heidelberg Mrz 1996, 1996
ISBN 10: 354061043X ISBN 13: 9783540610434
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 292 pp. Englisch.
Published by Springer Berlin Heidelberg, 1996
ISBN 10: 354061043X ISBN 13: 9783540610434
Language: English
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.