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) - First edition
1997, ISBN: 9780387982175
Hardcover
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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2000, ISBN: 9780387982175
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ISBN: 9780387982175
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ISBN: 9780387982175
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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...
Birge, John R. Louveaux, François:
Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering) - First edition1997, ISBN: 9780387982175
Hardcover
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...
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...
ISBN: 9780387982175
Fnac.com : Livraison gratuite et - 5% sur tous les livres. Introduction to Stochastic Programming, Springer Series in Operations Research - Livre. Découvrez des nouveautés, des coups de c… More...
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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 FunctionsThis 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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