Solving combinatorial optimization problems in parallel : methods and techniques

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 r...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Ferreira, Afonso, 1960-
مؤلفون آخرون: Pardalos, Panos M., 1954- (مدير النشر)
التنسيق: Livre numérique
اللغة:Anglais
منشور في: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
سلاسل:Lecture notes in computer science 1054
الموضوعات:
الوصول للمادة أونلاين:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
ملاحظة: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Solving combinatorial optimization problems in parallel, methods and techniques, Alfonso Ferreira, Panos Pardalos (Eds.), 1996, Berlin, Springer, 1 vol. (274 p.), Lecture notes in computer science, 3-540-61043-X
• Solving Combinatorial Optimization Problems in Parallel Methods and Techniques, Texte imprimé, 9783662202500
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505 0 |a SCOOP: Solving Combinatorial Optimization problems in parallel -- Parallel approximation of optimization problems -- Randomized parallel algorithms -- Automatic synthesis of parallel algorithms -- An introduction to parallel dynamic programming -- Mapping tree-structured combinatorial optimization problems onto parallel computers -- Towards an abstract parallel branch and bound machine -- Parallel best-first branch- and-bound in discrete optimization: A framework -- Building a parallel branch and bound library -- Parallel algorithms for global optimization problems -- Parallel heuristic search Introductions and a new approach. 
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520 |a 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. 
650 |a Informatique 
650 |a Optimisation combinatoire 
650 |a Analyse numérique 
650 |a Parallélisme (informatique) 
650 |a Analyse combinatoire 
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650 |a Ingénierie assistée par ordinateur 
700 1 |a Pardalos, Panos M.,  |d 1954-  |4 pbd 
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