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Introduction to Stochastic Programming - John R Birge
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Introduction to Stochastic Programming - copertina rigida, flessible

2011, ISBN: 1461402360

[EAN: 9781461402367], Neubuch, [SC: 0.0], [PU: SPRINGER NATURE], MATHEMATICS; MATHEMATICS / OPTIMIZATION; BUSINESS & ECONOMICS OPERATIONS RESEARCH; APPLIED; LINEAR NONLINEAR PROGRAMMING; … Altro …

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Introduction to Stochastic Programming
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ISBN: 9781461402367

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… Altro …

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Introduction to Stochastic Programming / John R Birge (u. a.) / Buch / XXV / Englisch / 2011 / Springer US / EAN 9781461402367 - Birge, John R
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Birge, John R:
Introduction to Stochastic Programming / John R Birge (u. a.) / Buch / XXV / Englisch / 2011 / Springer US / EAN 9781461402367 - copertina rigida, flessible

2011

ISBN: 9781461402367

[ED: Gebunden], [PU: Springer US], The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently developing rapidly with… Altro …

Costi di spedizione:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00) Buchbär
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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) - copertina rigida, flessible

2011, ISBN: 9781461402367

Springer, Gebundene Ausgabe, Auflage: 2nd ed. 2011, 510 Seiten, Publiziert: 2011-06-27T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 14813852, 2.58 kg, Verkaufsrang: 630, Kosten & Contr… Altro …

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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) - copertina rigida, flessible

2011, ISBN: 1461402360

[EAN: 9781461402367], New book, [PU: Springer], Books

NEW BOOK. Costi di spedizione: EUR 3.99 Lucky's Textbooks, Dallas, TX, U.S.A. [60577173] [Rating: 5 (of 5)]

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Dettagli del libro
Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering)

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)

Informazioni dettagliate del libro - Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering)


EAN (ISBN-13): 9781461402367
ISBN (ISBN-10): 1461402360
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 20110620
Editore: Springer
485 Pagine
Peso: 1,080 kg
Lingua: Englisch

Libro nella banca dati dal 2009-11-07T23:22:14+01:00 (Zurich)
Pagina di dettaglio ultima modifica in 2024-01-11T11:34:30+01:00 (Zurich)
ISBN/EAN: 1461402360

ISBN - Stili di scrittura alternativi:
1-4614-0236-0, 978-1-4614-0236-7
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : birge, louveau, lou, louv, john main
Titolo del libro: programming introduction, financial engineering, introduction stochastic, introduction operations research, book programming


Dati dell'editore

Autore: John R. Birge; François Louveaux
Titolo: Springer Series in Operations Research and Financial Engineering; Introduction to Stochastic Programming
Editore: Springer; Springer US
485 Pagine
Anno di pubblicazione: 2011-06-27
New York; NY; US
Stampato / Fatto in
Lingua: Inglese
90,94 € (DE)
93,49 € (AT)
100,50 CHF (CH)
POD
XXV, 485 p.

BB; 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; EA; BC

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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