Solving Combinatorial Optimization Problems in Parallel: Methods and Techniques
Book information
Description
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.
Similar books
Solving Combinatorial Optimization Problems in Parallel: Methods and Techniques
1996 · PDF
Advances in Design, Simulation and Manufacturing III: Proceedings of the 3rd International Conference on Design, Simulation, Manufacturing: The Innovation Exchange, DSMIE-2020, June 9-12, 2020, Kharkiv, Ukraine – Volume 1: Manufacturing and Materials Engineering
2020 · PDF
Natural Language Processing for Electronic Design Automation
2020 · PDF
Domain Decomposition Methods in Science and Engineering XXV
2020 · PDF
Design Thinking: Creativity, Collaboration and Culture
2020 · PDF
Konstruktion für die Additive Fertigung 2019
2020 · PDF
Advances in Mechanical Engineering: Select Proceedings of ICAME 2020
2021 · PDF
Advances in VLSI and Embedded Systems: Select Proceedings of AVES 2019
2021 · PDF