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Parallel Processing of Discrete Optimization Problems

Parallel Processing of Discrete Optimization Problems
Author: Panos M. Pardalos
Publisher: American Mathematical Soc.
Total Pages: 392
Release: 1995-01-01
Genre: Mathematics
ISBN: 9780821870686

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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.


Parallel Processing of Discrete Problems

Parallel Processing of Discrete Problems
Author: Panos M. Pardalos
Publisher: Springer Science & Business Media
Total Pages: 246
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461214920

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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.


Parallel Processing of Discrete Optimization Problems

Parallel Processing of Discrete Optimization Problems
Author: Panos M. Pardalos
Publisher:
Total Pages: 374
Release: 1995
Genre: Discrete-time systems
ISBN: 9781470439804

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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 linea.


Parallel Algorithms for Irregular Problems: State of the Art

Parallel Algorithms for Irregular Problems: State of the Art
Author: Alfonso Ferreira
Publisher: Springer Science & Business Media
Total Pages: 338
Release: 2013-04-17
Genre: Computers
ISBN: 1475761309

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Efficient parallel solutions have been found to many problems. Some of them can be obtained automatically from sequential programs, using compilers. However, there is a large class of problems - irregular problems - that lack efficient solutions. IRREGULAR 94 - a workshop and summer school organized in Geneva - addressed the problems associated with the derivation of efficient solutions to irregular problems. This book, which is based on the workshop, draws on the contributions of outstanding scientists to present the state of the art in irregular problems, covering aspects ranging from scientific computing, discrete optimization, and automatic extraction of parallelism. Audience: This first book on parallel algorithms for irregular problems is of interest to advanced graduate students and researchers in parallel computer science.


Parallel Optimization

Parallel Optimization
Author: Department of Mathematics and Computer Science Yair Censor
Publisher: Oxford University Press on Demand
Total Pages: 574
Release: 1997
Genre: Mathematics
ISBN: 9780195100624

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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

Solving Combinatorial Optimization Problems in Parallel
Author: Alfonso Ferreira
Publisher: Boom Koninklijke Uitgevers
Total Pages: 292
Release: 1996-03-27
Genre: Business & Economics
ISBN: 9783540610434

Download Solving Combinatorial Optimization Problems in Parallel 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.


Novel Approaches to Hard Discrete Optimization

Novel Approaches to Hard Discrete Optimization
Author: Panos M. Pardalos
Publisher: American Mathematical Soc.
Total Pages: 194
Release: 2003
Genre: Mathematics
ISBN: 0821832484

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During the last decade, many novel approaches have been considered for dealing with computationally difficult discrete optimization problems. Such approaches include interior point methods, semidefinite programming techniques, and global optimization. More efficient computational algorithms have been developed and larger problem instances of hard discrete problems have been solved. This progress is due in part to these novel approaches, but also to new computing facilities and massive parallelism. This volume contains the papers presented at the workshop on ``Novel Approaches to Hard Discrete Optimization''. The articles cover a spectrum of issues regarding computationally hard discrete problems.


Cost Optimization of Structures

Cost Optimization of Structures
Author: Hojjat Adeli
Publisher: John Wiley & Sons
Total Pages: 222
Release: 2006-11-02
Genre: Technology & Engineering
ISBN: 0470867345

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While the weight of a structure constitutes a significant part of the cost, a minimum weight design is not necessarily the minimum cost design. Little attention in structural optimization has been paid to the cost optimization problem, particularly of realistic three-dimensional structures. Cost optimization is becoming a priority in all civil engineering projects, and the concept of Life-Cycle Costing is penetrating design, manufacturing and construction organizations. In this groundbreaking book the authors present novel computational models for cost optimization of large scale, realistic structures, subjected to the actual constraints of commonly used design codes. As the first book on the subject this book: Contains detailed step-by-step algorithms Focuses on novel computing techniques such as genetic algorithms, fuzzy logic, and parallel computing Covers both Allowable Stress Design (ASD) and Load and Resistance Factor Design (LRFD) codes Includes realistic design examples covering large-scale, high-rise building structures Presents computational models that enable substantial cost savings in the design of structures Fully automated structural design and cost optimization is where large-scale design technology is heading, thus Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing will be of great interest to civil and structural engineers, mechanical engineers, structural design software developers, and architectural engineers involved in the design of structures and life-cycle cost optimisation. It is also a pioneering text for graduate students and researchers working in building design and structural optimization.


Introduction to Parallel Computing

Introduction to Parallel Computing
Author: Vipin Kumar
Publisher: Addison Wesley Longman
Total Pages: 632
Release: 1994
Genre: Computers
ISBN:

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Mathematics of Computing -- Parallelism.