Optimization Software Class Libraries (Hardcover, 2002 ed.)

Stefan VoC and David Woodruff have edited a carefully refereed volume by experts on optimization software class libraries. The book focuses on flexible and powerful collections of computational objects for addressing complex optimization problems. These component class libraries are suitable for use in the increasing number of optimization applications that stand alone or are imbedded in advanced planning, engineering, and bioinformatics applications. Most researchers today use a number of modeling language software packages and a number of software solvers to solve computational problems. This book outlines packaged software class libraries to enable researchers to find cost-effective and efficient methods of getting problems coded into the computer, or into a modeling language package or into optimizing solvers - hence providing software coding solutions to whatever specialized needs a specific problem might require. Optimization Software Class Libraries provides the reader with a rich overview of the variety of components for framing problems. With the growing number of application-specific software systems and advance planning methods for specific classes of problems, class libraries for optimization are increasingly useful, practical, and needed. Benefits of Optimization Software Class Libraries are: Researchers will be able to invest more effort in examining better algorithms, performing experiments, and making use of problem-specific knowledge; The libraries that encapsulate general-purpose algorithms as reusable, high-quality software components are themselves significant contributions to ongoing research; and In addition to the research benefits, the libraries described providesubstantial practical value to organizations that adopt them.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Operations Research/Computer Science Interfaces Series, 18
Release date:	April 2002
First published:	2002
Editors:	Stefan Voss • David L. Woodruff
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	360
Edition:	2002 ed.
ISBN-13:	978-1-4020-7002-0
Categories:	Books > Computing & IT > Computer programming > General Books > Science & Mathematics > Mathematics > Optimization > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Promotions
LSN:	1-4020-7002-0
Barcode:	9781402070020

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