Solving Combinatorial Optimization Problems in Parallel Methods and Techniques
Methods and Techniques
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Beschreibung
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.
Autor*in
Alfonso Ferreira
Themen in »Solving Combinatorial Optimization Problems in Parallel Methods and Techniques«
Combinatorial Optimization Computer-Aided Design (CAD) Ganzzahliges Programmieren Integer Programming Kombinatorische Optimierung Mapping Mathematical Programming Parallel Algorithms Parallel Approximation Parallele Algorithmen Parallele Approximation algorithm algorithms optimization programming