9783030554033 - Introduction to Applied Optimization: 22 di Diwekar, Urmila (28 risultati)

hardcover. Condizione: Very Good.

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Hardback. Condizione: New. Third Edition 2020.

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Condizione: As New. Unread book in perfect condition.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Condizione: Very Good. 3. Auflage. unread, with a mimimum of shelfwear.

Hardcover. Condizione: new. Hardcover. 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 includes additional 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 27. 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. Janos D. Pinter, European Journal of Operations Research, Vol. 177, 2007 Urmila Diwekars 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 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: New.

Hardback. Condizione: New. Third Edition 2020.

Condizione: New.

Condizione: New.

Condizione: NEW.

Condizione: New. Includes problem sets and exercisesIntroduces applied optimization with unique applicationsSolutions manual available upon adoptionsIncludes problem sets and exercisesIntroduces applied optimization with unique app.

Hardback. Condizione: New. Third Edition 2020.

Hardback. Condizione: New. Third Edition 2020.

Hardcover. Condizione: Brand New. 3rd edition. 358 pages. 9.25x6.10x1.02 inches. In Stock.

Buch. 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.

Hardcover. Condizione: new. Hardcover. 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 includes additional 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 27. 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. Janos D. Pinter, European Journal of Operations Research, Vol. 177, 2007 Urmila Diwekars 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 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 388 pp. Englisch.

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Hardcover. Condizione: Brand New. 3rd edition. 358 pages. 9.25x6.10x1.02 inches. In Stock. This item is printed on demand.

Condizione: New. PRINT ON DEMAND.

Buch. Condizione: Neu. Introduction to Applied Optimization | Urmila M. Diwekar | Buch | Springer Optimization and Its Applications | xxix | Englisch | 2020 | Springer | EAN 9783030554033 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 includes additional 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 2004Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 388 pp. Englisch.