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Introduction to stochastic programming (Record no. 3854)

MARC details
000 -LEADER
fixed length control field	02239nam a22002537a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20230322143124.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	230322b \|\|\|\|\| \|\|\|\| 00\| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	9781493937035
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number	519.7
Item number	BIR
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name	Birge, John R.
245 ## - TITLE STATEMENT
Title	Introduction to stochastic programming
250 ## - EDITION STATEMENT
Edition statement	2nd
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc.	Springer
Place of publication, distribution, etc.	New York
Date of publication, distribution, etc.	2011
300 ## - PHYSICAL DESCRIPTION
Extent	xxv, 485 p.
365 ## - TRADE PRICE
Price type code	EURO
Price amount	59.99
490 ## - SERIES STATEMENT
Series statement	Springer series in operations research and financial engineering
520 ## - SUMMARY, ETC.
Summary, etc.	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.<br/><br/>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.<br/><br/>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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	Stochastic programming
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	Linear programming
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	Mathematical optimization
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	Mathematical statistics
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name	Louveaux, Francois
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme	Dewey Decimal Classification
Koha item type	Book

Holdings
Withdrawn status	Lost status	Source of classification or shelving scheme	Damaged status	Not for loan	Collection code	Bill No	Bill Date	Home library	Current library	Shelving location	Date acquired	Source of acquisition	Cost, normal purchase price	Total Checkouts	Full call number	Accession Number	Date last seen	Copy number	Cost, replacement price	Price effective from	Koha item type
		Dewey Decimal Classification			Operations Management & Quantitative Techniques	TB3164	16-02-2023	Indian Institute of Management LRC	Indian Institute of Management LRC	General Stacks	03/22/2023	Technical Bureau India Pvt. Ltd.	3317.19		519.7 BIR	004890	03/22/2023	1	5045.16	03/22/2023	Book