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Introduction to Stochastic Programming - John R. Birge
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John R. Birge:

Introduction to Stochastic Programming - neues Buch

ISBN: 9781461402374

ID: 9781461402374

The aim of stochastic programming is to find optimal decisions in problems  which involve uncertain data. This field is currently developing rapidly with contributions from many disciplines including operations research, mathematics, and probability. At the same time, it is now being applied in a wide variety of subjects ranging from agriculture to financial planning and from industrial engineering to computer networks. This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability. The authors aim to present a broad overview of the main themes and methods of the subject. Its prime goal is to help students develop an intuition on how to model uncertainty into mathematical problems, what uncertainty changes bring to the decision process, and what techniques help to manage uncertainty in solving the problems.In this extensively updated new edition there is more material on methods and examples including several new approaches for discrete variables, new results on risk measures in modeling and Monte Carlo sampling methods, a new chapter on relationships to other methods including approximate dynamic programming, robust optimization and online methods.The book is highly illustrated with chapter summaries and many examples and exercises. Students, researchers and practitioners in operations research and the optimization area will find it particularly of interest. Review of First Edition:&apos The discussion on modeling issues, the large number of examples used to illustrate the material, and the breadth of the coverage make &apos Introduction to Stochastic Programming&apos an ideal textbook for the area.&apos (Interfaces, 1998) Introduction to Stochastic Programming: The aim of stochastic programming is to find optimal decisions in problems  which involve uncertain data. This field is currently developing rapidly with contributions from many disciplines including operations research, mathematics, and probability. At the same time, it is now being applied in a wide variety of subjects ranging from agriculture to financial planning and from industrial engineering to computer networks. This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability. The authors aim to present a broad overview of the main themes and methods of the subject. Its prime goal is to help students develop an intuition on how to model uncertainty into mathematical problems, what uncertainty changes bring to the decision process, and what techniques help to manage uncertainty in solving the problems.In this extensively updated new edition there is more material on methods and examples including several new approaches for discrete variables, new results on risk measures in modeling and Monte Carlo sampling methods, a new chapter on relationships to other methods including approximate dynamic programming, robust optimization and online methods.The book is highly illustrated with chapter summaries and many examples and exercises. Students, researchers and practitioners in operations research and the optimization area will find it particularly of interest. Review of First Edition:&apos The discussion on modeling issues, the large number of examples used to illustrate the material, and the breadth of the coverage make &apos Introduction to Stochastic Programming&apos an ideal textbook for the area.&apos (Interfaces, 1998), Springer New York

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Introduction to Stochastic Programming - John R. Birge, François Louveaux
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John R. Birge, François Louveaux:

Introduction to Stochastic Programming - Erstausgabe

ISBN: 9781461402374

ID: 320411

The aim of stochastic programming is to find optimal decisions in problems  which involve uncertain data. This field is currently developing rapidly with contributions from many disciplines including operations research, mathematics, and probability. At the same time, it is now being applied in a wide variety of subjects ranging from agriculture to financial planning and from industrial engineering to computer networks. This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability. The authors aim to present a broad overview of the main themes and methods of the subject. Its prime goal is to help students develop an intuition on how to model uncertainty into mathematical problems, what uncertainty changes bring to the decision process, and what techniques help to manage uncertainty in solving the problems.In this extensively updated new edition there is more material on methods and examples including several new approaches for discrete variables, new results on risk measures in modeling and Monte Carlo sampling methods, a new chapter on relationships to other methods including approximate dynamic programming, robust optimization and online methods.The book is highly illustrated with chapter summaries and many examples and exercises. Students, researchers and practitioners in operations research and the optimization area will find it particularly of interest. Review of First Edition:The discussion on modeling issues, the large number of examples used to illustrate the material, and the breadth of the coverage make Introduction to Stochastic Programming an ideal textbook for the area. (Interfaces, 1998)John R. Birge, is a Jerry W. and Carol Lee Levin Professor of Operations Management at the University of Chicago Booth School of Business. François Louveaux is a Professor at the University of Namur(FUNDP) in the Department of Business Administration[PU:Springer-Verlag]

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Introduction to Stochastic Programming - John R. Birge & François Louveaux
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John R. Birge & François Louveaux:
Introduction to Stochastic Programming - neues Buch

2011

ISBN: 9781461402374

ID: 501296654

The aim of stochastic programming is to find optimal decisions in problems  which involve uncertain data. This field is currently developing rapidly with contributions from many disciplines including operations research, mathematics, and probability. At the same time, it is now being applied in a wide variety of subjects ranging from agriculture to financial planning and from industrial engineering to computer networks. This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability. The authors aim to present a broad overview of the main themes and methods of the subject. Its prime goal is to help students develop an intuition on how to model uncertainty into mathematical problems, what uncertainty changes bring to the decision process, and what techniques help to manage uncertainty in solving the problems.In this extensively updated new edition there is more material on methods and examples including several new approaches for discrete variables, new results on risk measures in modeling and Monte Carlo sampling methods, a new chapter on relationships to other methods including approximate dynamic programming, robust optimization and online methods.The book is highly illustrated with chapter summaries and many examples and exercises. Students, researchers and practitioners in operations research and the optimization area will find it particularly of interest. Review of First Edition:'The discussion on modeling issues, the large number of examples used to illustrate the material, and the breadth of the coverage make 'Introduction to Stochastic Programming' an ideal textbook for the area.' (Interfaces, 1998), 2011

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Introduction to Stochastic Programming - John R. Birge;  Francois Louveaux
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John R. Birge; Francois Louveaux:
Introduction to Stochastic Programming - neues Buch

2011, ISBN: 9781461402374

ID: 23704205

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Introduction to Stochastic Programming - John R. Birge;  François Louveaux
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John R. Birge; François Louveaux:
Introduction to Stochastic Programming - neues Buch

2011, ISBN: 9781461402374

ID: 23704205

[ED: 2], Auflage, eBook Download (PDF), eBooks, [PU: Springer-Verlag]

Neues Buch Lehmanns.de
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