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

©2019-2020 Learning Resource Centre, Indian Institute of Management Bodhgaya

Powered by Koha