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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.
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- ÉditeurSpringer-Verlag New York Inc.
- Date d'édition2000
- ISBN 10 0387986316
- ISBN 13 9780387986319
- ReliureRelié
- Langueanglais
- Nombre de pages715
- Coordonnées du fabricantnon disponible
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Practical Optimization Methods : With Mathematica® Applications
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Springer New York, 2000
ISBN 10 : 0387986316
ISBN 13 : 9780387986319
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Practical Optimization Methods : With Mathematica® Applications
Edité par
Springer New York, 2000
ISBN 10 : 0387986316
ISBN 13 : 9780387986319
Ancien ou d'occasion
Couverture rigide
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Practical Optimization Methods: With Mathematica? Applications
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ISBN 13 : 9780387986319
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Practical Optimization Methods: With Mathematica® Applications
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ISBN 10 : 0387986316
ISBN 13 : 9780387986319
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Couverture rigide
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Practical Optimization Methods
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This introductory textbook adopts a practical and intuitive approach, rather than emphasizing mathematical rigor. Computationally oriented books in this area generally present algorithms alone, and expect readers to perform computations by hand, and are oft. N° de réf. du vendeur 5913416
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Practical Optimization Methods: With Mathematica® Applications
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Practical Optimization Methods: With Mathematica® Applications
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Practical Optimization Methods
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Springer New York Jun 2000, 2000
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ISBN 13 : 9780387986319
Neuf
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This introductory textbook presents optimization theory and computational algorithms useful in practice. The approach is practical and intuitive, rather than emphasizing mathematical rigor. Computationally oriented books in this area generally present algorithms alone, and expect readers to perform computations by hand. Some books are written in traditional computer languages, such as Basic, Fortran or Pascal. The programs in this text help with computations. This book is the first text to use Mathematica to develop thorough understanding optimization algorithms, fully exploitingMathematica's symbolic, numerical and graphic capabilities. 732 pp. Englisch. N° de réf. du vendeur 9780387986319
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Practical Optimization Methods
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Springer New York, Springer New York Jun 2000, 2000
ISBN 10 : 0387986316
ISBN 13 : 9780387986319
Neuf
Couverture rigide
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Buch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 732 pp. Englisch. N° de réf. du vendeur 9780387986319
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Practical Optimization Methods : With Mathematica® Applications
Edité par
Springer New York, Springer New York, 2000
ISBN 10 : 0387986316
ISBN 13 : 9780387986319
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. 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. N° de réf. du vendeur 9780387986319
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