1 edition of **Optimization, Parallel Processing and Applications** found in the catalog.

- 138 Want to read
- 11 Currently reading

Published
**1988**
by Springer Berlin Heidelberg in Berlin, Heidelberg
.

Written in English

- Mathematical optimization,
- Economics,
- Computer science,
- Systems theory

This volume contains selected papers presented either at the Oberwolfach Conference on Operations Research, February 1987, or at the three-day workshop on Advanced Computation Techniques, Parallel Processing and Optimization organized by IIASA and the University of Karlsruhe, which immediately followed. The aim of the conferences was to discuss recently developed methods in optimization theory and their practical implementation using advanced computation techniques, especially in parallel processing. The volume is divided into five sections: I. Algorithms and Optimization Methods II. Optimization and Parallel Processing III. Graph Theory and Scheduling IV. Differential Equations and Operator Theory V. Applications.

**Edition Notes**

Statement | edited by Alexander Kurzhanski, Klaus Neumann, Diethard Pallaschke |

Series | Lecture Notes in Economics and Mathematical Systems -- 304, Lecture notes in economics and mathematical systems -- 304. |

Contributions | Neumann, Klaus, Pallaschke, D. (Diethard) |

Classifications | |
---|---|

LC Classifications | HD30.23 |

The Physical Object | |

Format | [electronic resource] : |

Pagination | 1 online resource (vi, 292p. 34 illus.) |

Number of Pages | 292 |

ID Numbers | |

Open Library | OL27079031M |

ISBN 10 | 3540190538, 3642466311 |

ISBN 10 | 9783540190530, 9783642466311 |

OCLC/WorldCa | 851808549 |

"This book nicely combines many papers on a general topic of timeliness and importance." (Journal of the Operational Research Society, ) " a good overview of recent metaheuristic techniques, and can be used as a starting point for developing new parallel version of the methods."Computing This book introduces beginning undergraduate students of computing and computational disciplines to modern parallel and distributed programming languages and environments, including map-reduce, general-purpose graphics processing units (GPUs), and graphical user interfaces (GUI) for mobile applications.

The book focuses on parallel optimization methods for large-scale constrained optimization problems and structured linear problems [It] covers a vast portion of parallel optimization, though full coverage of this domain, as the authors admit, goes far beyond the capacity of a single monograph. COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus.

This document provides useful performance tips and optimization guidelines for programmers who want to use AMD Accelerated Parallel Processing to accelerate their applications. Audience This document is intended for programmers. It assumes prior experience in writing code for CPUs and an understanding of work-items. A basic. Figure 5. Running the optimization solver using the parallel computing capability in Optimization Toolbox. This example runs on two workers and is 20% slower than the single-worker case. The evaluation time of N objective and constraint functions is on the order of milliseconds.

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Optimization, Parallel Processing and Applications Proceedings of the Oberwolfach Conference on Operations Research, February 16–21, and the Workshop on Advanced Computation Techniques, Parallel Processing and Optimization Held at Karlsruhe, West Germany, February 22–25, This domain, called parallel optimization, has been developing rapidly under the stimulus of progress in computer technology.

The book focuses on parallel optimization methods for large-scale constrained optimization problems and structured linear problemsCited by: 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 : Paperback. Optimization, Parallel Processing and Applications: Proceedings of the Oberwolfach Conference on Operations Research, February 16–21, and the Workshop on Advanced Computation Techniques, Parallel Processing and Optimization Held at Karlsruhe, West Ge.

Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms.

This book presents 23 self-contained chapters, including survey chapters and surveys, written by distinguished researchers in the field of parallel computing. Cite this article as: Mayne, A. J Oper Res Soc () First Online 01 June ; DOI Cited by: 7. This book offers a unique pathway to methods of parallel optimization by introducing parallel computing ideas and techniques into both optimization theory, and into some numerical algorithms for.

The concept of parallel processing is a depar ture from sequential processing. In sequential computation one processor is in volved and performs one operation at a time. On the other hand, in parallel computation several processors cooperate to solve a problem, which reduces computing time because several operations can be carried out by: Massively Parallel Processing Applications and Development Proceedings of the EUROSIM Conference on Massively Parallel Processing Applications and Development, Delft, The Netherlands, 21–23 June Book • The result will be a widespread use of massively parallel processing systems in many areas of application.

I attempted to start to figure that out in the mids, and no such book existed. It still doesn’t exist. When I was asked to write a survey, it was pretty clear to me that most people didn’t read surveys (I could do a survey of surveys). So wha. Inherently Parallel Algorithms in Feasibility and Optimization and their Applications (ISSN Book 8) - Kindle edition by Butnariu, D., Reich, S., Censor, Y.

Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Inherently Parallel Algorithms in Feasibility and Optimization and their Applications (ISSN Manufacturer: North Holland.

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.

Socio Economics Parallel processing is used for modelling of a economy of a nation/world. Programs system which involves cluster computing device to implement parallel algorithms of scenario calculations,optimization are used in such economic models.

Such program system serves for conducting multi-scenario calculations to design a suitable development strategy. A similar analysis could be performed for pattern search based optimization. Experience has shown that optimization of complex simulations that take more than 40 seconds to run typically benefit from parallel optimization.

Uncertain Parameters and Their Effect on Parallel Optimization. Parallel and Distributed Processing and Applications - ISPA Workshops Parallel, Distributed and Multiagent Production Systems Parallel, Object-Oriented, and Active Knowledge Base Systems.

Purchase Parallel Processing from Applications to Systems - 1st Edition. Print Book & E-Book. ISBNWelcome to the proceedings of the International Symposium on Parallel and Distributed Processing and Applications (ISPA ) which was held in Aizu-Wakamatsu City, Japan, July 2–4, Parallel and distributed processing has become a key technology which will play an important part in determining, or at least shaping, future research.

Book Description. In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to.

CUDA was designed to create applications that run on hundreds of parallel processing elements and manage many thousands of threads. This design makes CUDA an attractive choice compared with current development languages like C++ and Java. It also creates a demand for CUDA developers. Purchase Inherently Parallel Algorithms in Feasibility and Optimization and their Applications, Volume 8 - 1st Edition.

Print Book & E-Book. ISBN. Algorithms for Parallel Processing (The IMA Volumes in Mathematics and its Applications Book ) - Kindle edition by MichaelAbhiram Ranade, Robert ber. Download it once and read it on your Kindle device, PC, phones or tablets.

Use features like bookmarks, note taking and highlighting while reading Algorithms for Parallel Processing (The IMA Volumes in Mathematics and its.This book constitutes the refereed proceedings of the Workshops and Symposiums of the 15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PPheld in Zhangjiajie, China, in November This book contains papers presented at the Workshop on Parallel Processing of Discrete Optimization Problems held at DIMACS in April The contents cover a wide spectrum of the most recent algorithms and applications in parallel processing of discrete optimization and related problems.