The Impact of Emerging Technologies on Computer Science and Operations Research

By: Stephen Nash, Stephen G. Nash (Editor), Ariela Sofer (Editor)

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Hardcover | 1 December 2009

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332 Pages

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24.13 x 16.51 x 2.54

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The emergence of high-performance computers and sophisticated software tech nology has led to significant advances in the development and application of operations research. In turn, the growing complexity of operations research models has posed an increasing challenge to computational methodology and computer technology. This volume focuses on recent advances in the fields of Computer Science and Operations Research, on the impact of technologi cal innovation on these disciplines, and on the close interaction between them. The papers cover many relevant topics: computational probability; design and analysis of algorithms; graphics; heuristic search and learning; knowledge-based systems; large-scale optimization; logic modeling and computation; modeling languages; parallel computation; simulation; and telecommunications. 1 This volume developed out of a conference held in Williamsburg, Virginia, January 5-7, 1994. It was sponsored by the Computer Science Technical Section of the Operations Research Society of America. The conference was attended by over 120 people from across the United States, and from many other countries. We would like to take this opportunity to thank the participants of the con ference, the authors, the anonymous referees, and the publisher for helping produce this volume. We express our special thanks to Bill Stewart and Ed Wasil for serving as Area Editors.

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Non-Fiction Business & Management Operational Research Reference, Information & Interdisciplinary Subjects Research & Information Information theory Cybernetics & Systems Theory Computing & I.T.Computer Science Artificial Intelligence Engineering & Technology Mechanical Engineering & Materials

Mechanical Engineering Business Mathematics & Systems

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Published: 27th September 2012

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Preface
An Upper Bound Suitable for Parallel Vector Processing for the Objective Function in a Class of Stochastic Optimization Problems	p. 1
On Embedded Languages, Meta-Level Reasoning, and Computer-Aided Modeling	p. 27
Mapping Tasks to Processors to Minimize Communication Time in a Multiprocessor System	p. 45
Refinements to the So-Called Simple Approximations for the Bulk-Arrival Queues: M[superscript X]/G/1	p. 65
A Nearly Asynchronous Parallel LP-Based Algorithm for the Convex Hull Problem in Multidimensional Space	p. 89
A Dynamically Generated Rapid Response Capacity Planning Model for Semiconductor Fabrication Facilities	p. 103
Queueing Analysis in TK Solver (QTK)	p. 129
On-Line Algorithms for a Single Machine Scheduling Problem	p. 157
Modeling Experience Using Multivariate Statistics	p. 175
Optimal Spare Parts Allocation and Industrial Applications	p. 195
A C++ Class Library for Mathematical Programming	p. 221
Integrating Operations Research and Neural Networks for Vehicle Routing	p. 245
Using Artificial Intelligence to Enhance Model Analysis	p. 263
Solving Quadratic Assignment Problems Using the Reverse Elimination Method	p. 281
Neural Networks for Heuristic Selection: An Application in Resource-Constrained Project Scheduling	p. 297
Table of Contents provided by Blackwell. All Rights Reserved.

The Impact of Emerging Technologies on Computer Science and Operations Research

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