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Introduction to Stochastic Programming - Fran?ois Louveaux; John R. Birge
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Introduction to Stochastic Programming - used book

ISBN: 0387982175

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...

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Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering) - Birge, John R. Louveaux, François
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Birge, John R. Louveaux, François:

Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering) - First edition

1997, ISBN: 9780387982175

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Springer, Gebundene Ausgabe, Auflage: 1st ed. 1997. Corr. 2nd printing, 440 Seiten, Publiziert: 1997-07-18T00:00:01Z, Produktgruppe: Book, Recht, Kategorien, Bücher, Kosten & Controlling,… More...

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Introduction to Stochastic Programming  1st ed. 1997. Corr. 2nd printing - Birge, John R. und Francois Louveaux
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Birge, John R. und Francois Louveaux:
Introduction to Stochastic Programming 1st ed. 1997. Corr. 2nd printing - used book

2000

ISBN: 9780387982175

1st ed. 1997. Corr. 2nd printing Gepflegter, sauberer Zustand. 143239/2 Versandkostenfreie Lieferung Stochastic Programming,modeling,nonlinear optimization,programming,operations research… More...

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Introduction to Stochastic Programming, Springer Series in Operations Research
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Introduction to Stochastic Programming, Springer Series in Operations Research - used book

ISBN: 9780387982175

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Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering) - John R. Birge
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Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering) - John R. Birge - used book

ISBN: 9780387982175

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Details of the book
Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering)

This rapidly developing field encompasses many disciplines including operations research, mathematics, and probability. Conversely, it is 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 present a broad overview of the main themes and methods of the subject, thus helping students develop an intuition for 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. The early chapters introduce some worked examples of stochastic programming, demonstrate how a stochastic model is formally built, develop the properties of stochastic programs and the basic solution techniques used to solve them. The book then goes on to cover approximation and sampling techniques and is rounded off by an in-depth case study. A well-paced and wide-ranging introduction to this subject.

Details of the book - Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering)


EAN (ISBN-13): 9780387982175
ISBN (ISBN-10): 0387982175
Hardcover
Publishing year: 1997
Publisher: Springer
448 Pages
Weight: 0,830 kg
Language: Englisch

Book in our database since 2007-05-16T20:41:51+01:00 (London)
Detail page last modified on 2023-06-25T10:26:48+01:00 (London)
ISBN/EAN: 0387982175

ISBN - alternate spelling:
0-387-98217-5, 978-0-387-98217-5
Alternate spelling and related search-keywords:
Book author: birge john, louveaux, louveau
Book title: introduction operations research, springer series, programming, financial engineering, introducing, introduction stochastic


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
421 Pages
Publishing year: 2000-02-02
New York; NY; US
Weight: 1,770 kg
Language: English
85,59 € (DE)
87,99 € (AT)
106,60 CHF (CH)
Not available, publisher indicates OP

BB; Book; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Stochastic Programming; modeling; nonlinear optimization; programming; operations research; Stochastic model; linear optimization; model; C; Probability Theory and Stochastic Processes; Mathematics and Statistics; Operations Research/Decision Theory; Stochastik; Unternehmensforschung; Management: Entscheidungstheorie; BB; BC; EA

I Models * Introduction and Examples * Uncertainty and Modeling Issues * II Basic Properties * Basic Properties and Theory * The Value of Information and the Stochastic Solution * III Solution Methods * Two-Stage Linear Recourse Problems * Nonlinear Programming Approaches to Two-Stage Recourse Problems * Multistage Stochastic Programs * Stochastic Integer Programs * IV Approximation and Sampling Methods * Evaluating and Approximating Expectations * Monte Carlo Methods * Multistage Approximations * V A Case Study * Capacity Expansion * Appendix: Sample Distribution Functions
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. A wide range of students from operations research, industrial engineering, and related disciplines will find this a well-paced and wide-ranging introduction to this subject.

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