Practical Optimization Methods : With Mathematica® Applications

M. Asghar Bhatti

ISBN 10: 1461267919 / ISBN 13: 9781461267911

Published by Springer New York, Springer New York, 2013

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9781461267911

Bibliographic Details

• Title: Practical Optimization Methods : With Mathematica® Applications
• Publisher: Springer New York, Springer New York
• Publication Date: 2013
• Language: English
• ISBN 10: 1461267919
• ISBN 13: 9781461267911
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 40D millimeters 235 millimeters width by 155 millimeters height by 40 millimeters depth
• Weight: 1089 grams

About this title

Synopsis

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.