Parallel Combinatorial Optimization PDF Download
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Author | : El-Ghazali Talbi |
Publisher | : John Wiley & Sons |
Total Pages | : 348 |
Release | : 2006-10-27 |
Genre | : Computers |
ISBN | : 0470053917 |
Download Parallel Combinatorial Optimization Book in PDF, ePub and Kindle
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.
Author | : Alfonso Ferreira |
Publisher | : Springer |
Total Pages | : 280 |
Release | : 1996-03-27 |
Genre | : Computers |
ISBN | : 9783540610434 |
Download Solving Combinatorial Optimization Problems in Parallel Methods and Techniques Book in PDF, ePub and Kindle
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.
Author | : Alfonso Ferreira |
Publisher | : |
Total Pages | : 292 |
Release | : 2014-01-15 |
Genre | : |
ISBN | : 9783662202500 |
Download Solving Combinatorial Optimization Problems in Parallel Methods and Techniques Book in PDF, ePub and Kindle
Author | : Chii Huah Shyu |
Publisher | : |
Total Pages | : 184 |
Release | : 1987 |
Genre | : Parallel processing (Electronic computers) |
ISBN | : |
Download Parallel combinatorial optimization algorithms Book in PDF, ePub and Kindle
Author | : Adrian Brüngger |
Publisher | : |
Total Pages | : 136 |
Release | : 1998 |
Genre | : |
ISBN | : 9783896492999 |
Download Solving Hard Combinatorial Optimization Problems in Parallel Book in PDF, ePub and Kindle
Author | : Panos M. Pardalos |
Publisher | : Springer Science & Business Media |
Total Pages | : 246 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461214920 |
Download Parallel Processing of Discrete Problems Book in PDF, ePub and Kindle
In the past two decades, breakthroughs in computer technology have made a tremendous impact on optimization. In particular, availability of parallel computers has created substantial interest in exploring the use of parallel processing for solving discrete and global optimization problems. The chapters in this volume cover a broad spectrum of recent research in parallel processing of discrete and related problems. The topics discussed include distributed branch-and-bound algorithms, parallel genetic algorithms for large scale discrete problems, simulated annealing, parallel branch-and-bound search under limited-memory constraints, parallelization of greedy randomized adaptive search procedures, parallel optical models of computing, randomized parallel algorithms, general techniques for the design of parallel discrete algorithms, parallel algorithms for the solution of quadratic assignment and satisfiability problems. The book will be a valuable source of information to faculty, students and researchers in combinatorial optimization and related areas.
Author | : Panos M. Pardalos |
Publisher | : Springer Science & Business Media |
Total Pages | : 307 |
Release | : 2013-12-01 |
Genre | : Computers |
ISBN | : 1461332826 |
Download Advances in Randomized Parallel Computing Book in PDF, ePub and Kindle
The technique of randomization has been employed to solve numerous prob lems of computing both sequentially and in parallel. Examples of randomized algorithms that are asymptotically better than their deterministic counterparts in solving various fundamental problems abound. Randomized algorithms have the advantages of simplicity and better performance both in theory and often in practice. This book is a collection of articles written by renowned experts in the area of randomized parallel computing. A brief introduction to randomized algorithms In the aflalysis of algorithms, at least three different measures of performance can be used: the best case, the worst case, and the average case. Often, the average case run time of an algorithm is much smaller than the worst case. 2 For instance, the worst case run time of Hoare's quicksort is O(n ), whereas its average case run time is only O( n log n). The average case analysis is conducted with an assumption on the input space. The assumption made to arrive at the O( n log n) average run time for quicksort is that each input permutation is equally likely. Clearly, any average case analysis is only as good as how valid the assumption made on the input space is. Randomized algorithms achieve superior performances without making any assumptions on the inputs by making coin flips within the algorithm. Any analysis done of randomized algorithms will be valid for all p0:.sible inputs.
Author | : Panos M. Pardalos |
Publisher | : American Mathematical Soc. |
Total Pages | : 392 |
Release | : 1995-01-01 |
Genre | : Mathematics |
ISBN | : 9780821870686 |
Download Parallel Processing of Discrete Optimization Problems Book in PDF, ePub and Kindle
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.
Author | : Yair Censor |
Publisher | : Oxford University Press, USA |
Total Pages | : 574 |
Release | : 1997 |
Genre | : Computers |
ISBN | : 9780195100624 |
Download Parallel Optimization Book in PDF, ePub and Kindle
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.
Author | : Gerard A. Kindervater |
Publisher | : |
Total Pages | : 33 |
Release | : 1983 |
Genre | : |
ISBN | : |
Download Parallel computing in combinatorial optimization Book in PDF, ePub and Kindle