Solving Combinatorial Optimization Problems in Parallel Methods and Techniques: Methods and Techniques: 1054 (Lecture Notes in Computer Science, 1054) - Tapa blanda
Sinopsis
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.
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Reseña del editor
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.
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Solving combinatorial optimization problems in parallel : methods and techniques. (= Lecture notes in computer science ; Vol. 1054)
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Berlin ; Heidelberg : Springer, 1996
ISBN 10: 354061043X
ISBN 13: 9783540610434
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Solving Combinatorial Optimization Problems in Parallel Methods and Techniques (Lecture Notes in Computer Science)
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Springer Verlag, Secaucus, New Jersey, U.S.A., 1996
ISBN 10: 354061043X
ISBN 13: 9783540610434
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SOLVING COMBINATORIAL OPTIMIZATION PROBLEMS IN PARALLEL: METHODS AND TECHNIQUES
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Springer, 1996
ISBN 10: 354061043X
ISBN 13: 9783540610434
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Solving Combinatorial Optimization Problems in Parallel Methods and Techniques: Methods and Techniques (Lecture Notes in Computer Science, 1054)
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Solving Combinatorial Optimization Problems in Parallel Methods and Techniques
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Springer Berlin Heidelberg Mrz 1996, 1996
ISBN 10: 354061043X
ISBN 13: 9783540610434
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783540610434
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Solving Combinatorial Optimization Problems in Parallel Methods and Techniques: Methods and Techniques (Lecture Notes in Computer Science, 1054)
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Solving Combinatorial Optimiza
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Condición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Nº de ref. del artículo: 00102885877
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Solving Combinatorial Optimization Problems in Parallel Methods and Techniques
Publicado por
Springer Berlin Heidelberg, 1996
ISBN 10: 354061043X
ISBN 13: 9783540610434
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Condición: 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. Nº de ref. del artículo: 4895462
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Solving Combinatorial Optimization Problems in Parallel Methods and Techniques
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Springer, Springer Mär 1996, 1996
ISBN 10: 354061043X
ISBN 13: 9783540610434
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 292 pp. Englisch. Nº de ref. del artículo: 9783540610434
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Solving Combinatorial Optimization Problems in Parallel Methods and Techniques : Methods and Techniques
Publicado por
Springer Berlin Heidelberg, 1996
ISBN 10: 354061043X
ISBN 13: 9783540610434
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783540610434
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