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The interface of Operation Research and Computer Science - although elusive to a precise definition - has been a fertile area of both methodological and applied research. The papers in this book, written by experts in their respective fields, convey the current state-of-the-art in this interface across a broad spectrum of research domains which include optimization techniques, linear programming, interior point algorithms, networks, computer graphics in operations research, parallel algorithms and implementations, planning and scheduling, genetic algorithms, heuristic search techniques and data retrieval.
Als Ergänzung zu den mehr praxisorientierten Büchern, die auf dem Gebiet der linearen und Integerprogrammierung bereits erschienen sind, beschreibt dieses Werk die zugrunde liegende Theorie und gibt einen Überblick über wichtige Algorithmen. Der Autor diskutiert auch Anwendungen auf die kombinatorische Optimierung; neben einer ausführlichen Bibliographie finden sich umfangreiche historische Anmerkungen.
Originally published in 1970. Management consultants in the United Kingdom are often accused of cloaking their activities in secrecy. The confidential nature of consulting work often precludes the publication of case examples and it is only occasionally that press reports appear summarizing particular studies. Consulting firms, however, are in the unique position of gaining experience over the whole range of industry, commerce and government, and consequently have a full opportunity for spear-heading new developments and gathering technical know-how of wide value to managers. Science in Management outlines the methods used by a consulting firm specializing in operational research and computer science and describes numerous case examples taken from a wide range of industries and from the public sector. These examples cover tactical problems, problems which overlap functional boundaries within a company and a few major projects of a strategic nature. The aim of the twenty contributors has been to explain in relatively simple terms, some of the more important techniques and to illustrate by practical examples, the wide scope of the management science approach at all problem levels. The book will be helpful to all those seeking to apply science in management. It is written primarily for managers and those studying modern management methods, but parts of the book will be of interest to specialists as well.
Computer Science and Operations Research continue to have a synergistic relationship and this book represents the results of the cross-fertilization between OR/MS and CS/AI. It is this interface of OR/CS that makes possible advances that could not have been achieved in isolation. Taken collectively, these articles are indicative of the state of the art in the interface between OR/MS and CS/AI and of the high-caliber research being conducted by members of the INFORMS Computing Society.
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.
This anthology assembles notes that address a wider spectrum of concern within the social sciences, as well as higher education and design and planning issues. The essays, articles and book reviews gathered here allow for an easy, and holistic, assessment of publications that cover various themes and were written during the past two decades. In addition, four chapters specifically written for this volume are included, two dealing with academic productivity, and the remaining two addressing aspects of economics and issues of design.