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£109.99

Springer Practical Optimization Methods : With Mathematical Applications

Name: Practical Optimization Methods : With Mathematical Applications
Brand: Springer
Price: 109.99 GBP
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The goal of this book is to present basic optimization theory and modern computational algorithms in a concise manner. The book is suitable for un dergraduate and graduate students in all branches of engineering, operations research, and management information systems. The book should also be use ful for practitioners who are interested in learning optimization and using these techniques on their own. Most available books in the field tend to be either too theoretical or present computational algorithms in a cookbook style. An approach that falls some where in between these two extremes is adopted in this book. Theory is pre sented in an informal style to make sense to most undergraduate and graduate students in engineering and business. Computational algorithms are also de veloped in an informal style by appealing to readers' intuition rather than mathematical rigor. The available, computationally oriented books generally present algorithms alone and expect readers to perform computations by hand or implement these algorithms by themselves. This obviously is unrealistic for a usual introductory optimization course in which a wide variety of optimization algorithms are discussed. There are some books that present programs written in traditional computer languages such as Basic, FORTRAN, or Pascal. These programs help with computations, but are of limited value in developing understanding of the algorithms because very little information about the intermediate steps v ' Preface VI -------------------------------------------------------- is presented.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 0387986316
Category: Books > Subjects > Business, Finance & Law > Management > Management Skills > Decision Making
Domain: Amazon UK
Release Date: 22 June 2000
Listed Since: 15 February 2007

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Springer Practical Optimization Methods : With Mathematical Applications

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