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Parallel Combinatorial Optimization

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Release : 2006-10-27
Genre : Computers
Kind : eBook
Book Rating : 917/5 ( reviews)

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Book Synopsis Parallel Combinatorial Optimization by : El-Ghazali Talbi

Download or read book Parallel Combinatorial Optimization written by El-Ghazali Talbi. This book was released on 2006-10-27. Available in PDF, EPUB and Kindle. Book excerpt: This text provides an excellent balance of theory and application that enables you to deploy powerful algorithms, frameworks, and methodologies to solve complex optimization problems in a diverse range of industries. Each chapter is written by leading experts in the fields of parallel and distributed optimization. Collectively, the contributions serve as a complete reference to the field of combinatorial optimization, including details and findings of recent and ongoing investigations.

Parallel combinatorial optimization algorithms

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Release : 1987
Genre : Parallel processing (Electronic computers)
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Parallel combinatorial optimization algorithms by : Chii Huah Shyu

Download or read book Parallel combinatorial optimization algorithms written by Chii Huah Shyu. This book was released on 1987. Available in PDF, EPUB and Kindle. Book excerpt:

Parallel Optimization

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Release : 1997
Genre : Computers
Kind : eBook
Book Rating : 624/5 ( reviews)

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Book Synopsis Parallel Optimization by : Yair Censor

Download or read book Parallel Optimization written by Yair Censor. This book was released on 1997. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a unique pathway to methods of parallel optimization by introducing parallel computing ideas into both optimization theory and into some numerical algorithms for large-scale optimization problems. The three parts of the book bring together relevant theory, careful study of algorithms, and modeling of significant real world problems such as image reconstruction, radiation therapy treatment planning, financial planning, transportation and multi-commodity network flow problems, planning under uncertainty, and matrix balancing problems.

Solving Combinatorial Optimization Problems in Parallel

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Release : 1996-03-27
Genre : Business & Economics
Kind : eBook
Book Rating : 434/5 ( reviews)

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Book Synopsis Solving Combinatorial Optimization Problems in Parallel by : Alfonso Ferreira

Download or read book Solving Combinatorial Optimization Problems in Parallel written by Alfonso Ferreira. This book was released on 1996-03-27. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Parallel Processing of Discrete Optimization Problems

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Release : 1995-01-01
Genre : Mathematics
Kind : eBook
Book Rating : 686/5 ( reviews)

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Book Synopsis Parallel Processing of Discrete Optimization Problems by : Panos M. Pardalos

Download or read book Parallel Processing of Discrete Optimization Problems written by Panos M. Pardalos. This book was released on 1995-01-01. Available in PDF, EPUB and Kindle. Book excerpt: This book contains papers presented at the Workshop on Parallel Processing of Discrete Optimization Problems held at DIMACS in April 1994. The contents cover a wide spectrum of the most recent algorithms and applications in parallel processing of discrete optimization and related problems. Topics include parallel branch and bound algorithms, scalability, load balancing, parallelism and irregular data structures and scheduling task graphs on parallel machines. Applications include parallel algorithms for solving satisfiability problems, location problems, linear programming, quadratic and linear assignment problems. This book would be suitable as a textbook in advanced courses on parallel algorithms and combinatorial optimization.

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