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Da: Best Price, Torrance, CA, U.S.A.
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 54,08
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 43,98
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Editore: Springer International Publishing, 2021
ISBN 10: 3030554066 ISBN 13: 9783030554064
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 26,74
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Intended for advanced undergraduate/graduate students as well as scientists and engineers, this textbook presents a multi-disciplinary view of optimization, providing a thorough examination of algorithms, methods, techniques, and tools from diverse areas of optimization. Linear programming, nonlinear programming, discrete optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control, and stochastic optimal control are introduced in each self-contained chapter, with exercises, examples, and case studies, the true gems of this text.This third edition includesadditional content in each chapter designed to clarify or enhance the exposition, and update methodologies and solutions. A new real-world case study related to sustainability is added in Chapters 2-7. GAMS, AIMMS, and MATLAB® files of case studies for Chapters 2, 3, 4, 5, and 7 are freely accessible electronically as extra source materials. A solutions manual is available to instructors who adopt the textbook for their course.From the reviews:This work is definitely a welcome addition to the existing optimization literature, given its emphasis on modeling and solution practice, as well as its 'user-friendly' style of exposition.- János D. Pintér,European Journal of Operations Research,Vol. 177, 2007Urmila Diwekar's book on applied optimization is one of the few books on the subject that combines impressive breadth of coverage with delightful readability. In her exposition of concepts and algorithms in the major areas of optimization, she always goes to the heart of the matter and illustrates her explanations with simple diagrams and numerical examples. Graduate and undergraduate students, who constitute part of the target audience, should find this a very useful book.- Jamshed A. Modi,Interfaces, Vol.36 (1), 2006Optimization is a rich field with a strong history; this book nicely introduces both, moving from very introductory material to challenging techniques toward the end . Examples range from quite simplistic through realistic difficult scheduling problems. Some examples resurface in different chapter with twists to demonstrate how different techniques are required for differing data and constraints. - CHOICE, September 2004.
EUR 57,42
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Da: SpringBooks, Berlin, Germania
EUR 33,60
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Aggiungi al carrelloHardcover. Condizione: Very Good. 3. Auflage. unread, with a mimimum of shelfwear.
EUR 49,96
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EUR 47,80
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Editore: Springer International Publishing, 2020
ISBN 10: 3030554031 ISBN 13: 9783030554033
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 37,44
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Intended for advanced undergraduate/graduate students as well as scientists and engineers, this textbook presents a multi-disciplinary view of optimization, providing a thorough examination of algorithms, methods, techniques, and tools from diverse areas of optimization. Linear programming, nonlinear programming, discrete optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control, and stochastic optimal control are introduced in each self-contained chapter, with exercises, examples, and case studies, the true gems of this text.This third edition includesadditional content in each chapter designed to clarify or enhance the exposition, and update methodologies and solutions. A new real-world case study related to sustainability is added in Chapters 2-7. GAMS, AIMMS, and MATLAB® files of case studies for Chapters 2, 3, 4, 5, and 7 are freely accessible electronically as extra source materials. A solutions manual is available to instructors who adopt the textbook for their course.From the reviews:This work is definitely a welcome addition to the existing optimization literature, given its emphasis on modeling and solution practice, as well as its 'user-friendly' style of exposition.- János D. Pintér,European Journal of Operations Research,Vol. 177, 2007Urmila Diwekar's book on applied optimization is one of the few books on the subject that combines impressive breadth of coverage with delightful readability. In her exposition of concepts and algorithms in the major areas of optimization, she always goes to the heart of the matter and illustrates her explanations with simple diagrams and numerical examples. Graduate and undergraduate students, who constitute part of the target audience, should find this a very useful book.- Jamshed A. Modi,Interfaces, Vol.36 (1), 2006Optimization is a rich field with a strong history; this book nicely introduces both, moving from very introductory material to challenging techniques toward the end . Examples range from quite simplistic through realistic difficult scheduling problems. Some examples resurface in different chapter with twists to demonstrate how different techniques are required for differing data and constraints. - CHOICE, September 2004.
EUR 55,92
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Aggiungi al carrelloPF. Condizione: New.
Editore: Springer Nature Switzerland AG, 2020
ISBN 10: 3030554031 ISBN 13: 9783030554033
Lingua: Inglese
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 79,49
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Editore: Springer Nature Switzerland AG, 2020
ISBN 10: 3030554031 ISBN 13: 9783030554033
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 73,83
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 87,38
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Da: California Books, Miami, FL, U.S.A.
EUR 96,27
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 93,16
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EUR 58,70
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EUR 112,66
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 318 pages. 9.00x6.00x0.75 inches. In Stock.