2011, ISBN: 1493937030
[EAN: 9781493937035], Neubuch, [SC: 0.0], [PU: Springer New York], STOCHASTICOPTIMIZATION; TWO-STAGELINEARRECOURSEPROBLEMS; DYNAMICPROGRAMMING; DECISIONMAKINGUNDERUNCERTAINTY, Druck auf A… More...
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2011, ISBN: 9781493937035
[PU: Springer US], Gepflegter, sauberer Zustand. 26647370/2, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 2nd ed. 2011, PayPal, Internationaler Versand
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2011, ISBN: 1493937030
[EAN: 9781493937035], Neubuch, [SC: 0.0], [PU: Springer New York], STOCHASTICOPTIMIZATION; TWO-STAGELINEARRECOURSEPROBLEMS; DYNAMICPROGRAMMING; DECISIONMAKINGUNDERUNCERTAINTY, Druck auf A… More...
ISBN: 9781493937035
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 discipline… More...
ISBN: 9781493937035
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 discipline… More...
ISBN: 9781493937035
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 disciplin… More...
2011, ISBN: 9781493937035
[PU: Springer US], Gepflegter, sauberer Zustand. 26647370/2, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 2nd ed. 2011, PayPal, Internationaler Versand
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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)
Details of the book - Introduction To Stochastic Programming
EAN (ISBN-13): 9781493937035
ISBN (ISBN-10): 1493937030
Hardcover
Paperback
Publishing year: 2011
Publisher: Springer Nature
Book in our database since 2016-04-09T05:34:59-04:00 (New York)
Detail page last modified on 2024-01-11T05:34:30-05:00 (New York)
ISBN/EAN: 9781493937035
ISBN - alternate spelling:
1-4939-3703-0, 978-1-4939-3703-5
Alternate spelling and related search-keywords:
Book author: häberle, peggy parnass, schröder, marc reift
Book title: introduction operations research, helfen heilen, prozesse, the price guide clocks, adenauer, 101 games play, programming
Information from Publisher
Author: John R. Birge; François Louveaux
Title: Springer Series in Operations Research and Financial Engineering; Introduction to Stochastic Programming
Publisher: Springer; Springer US
485 Pages
Publishing year: 2011-06-27
New York; NY; US
Printed / Made in
Language: English
64,19 € (DE)
65,99 € (AT)
71,00 CHF (CH)
POD
XXV, 485 p.
BC; Hardcover, Softcover / Mathematik/Sonstiges; Unternehmensforschung; Verstehen; Stochastic optimization; Two-Stage Linear Recourse Problems; decision making under uncertainty; dynamic programming; Operations Research, Management Science; Statistics and Computing; Optimization; Wahrscheinlichkeitsrechnung und Statistik; Mathematische und statistische Software; Optimierung; BB
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)Well-paced and wide-ranging introduction to this subject Prime goal is to help students develop an intuition on how to model uncertainty into mathematical problems Provides a first course in stochastic programming suitable for students Includes supplementary material: sn.pub/extras
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