Risk Management in Stochastic Integer Programming (Record no. 38629)

MARC details
000 -LEADER
fixed length control field 02495n a2200337#a 4500
001 - CONTROL NUMBER
control field 5000279
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221213140641.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr||||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100301s2008 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783834895363
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-8348-9536-3
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number 978-3-8348-9536-3
072 #7 - SUBJECT CATEGORY CODE
Subject category code PB
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT000000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 510
090 ## - IMPA CODE FOR CLASSIFICATION SHELVES
IMPA CODE FOR CLASSIFICATION SHELVES Matemáticas Gerais-(inclusive alguns textos elementares sobre assuntos específicos)
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Neise, Frederike.
9 (RLIN) 9249
245 10 - TITLE STATEMENT
Title Risk Management in Stochastic Integer Programming
Medium [electronic resource]:
Remainder of title With Application to Dispersed Power Generation/
Statement of responsibility, etc. by Frederike Neise.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Wiesbaden:
Name of publisher, distributor, etc. Vieweg+Teubner Verlag,
Date of publication, distribution, etc. 2008.
300 ## - PHYSICAL DESCRIPTION
Extent VIII, 105p. 7 illus.
Other physical details digital.
520 ## - SUMMARY, ETC.
Summary, etc. Two-stage stochastic optimization is a useful tool for making optimal decisions under uncertainty. Frederike Neise describes two concepts to handle the classic linear mixed-integer two-stage stochastic optimization problem: The well-known mean-risk modeling, which aims at finding a best solution in terms of expected costs and risk measures, and stochastic programming with first order dominance constraints that heads towards a decision dominating a given cost benchmark and optimizing an additional objective. For this new class of stochastic optimization problems results on structure and stability are proven. Moreover, the author develops equivalent deterministic formulations of the problem, which are efficiently solved by the presented dual decomposition method based on Lagrangian relaxation and branch-and-bound techniques. Finally, both approaches – mean-risk optimization and dominance constrained programming – are applied to find an optimal operation schedule for a dispersed generation system, a problem from energy industry that is substantially influenced by uncertainty .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematics
9 (RLIN) 43458
697 ## - LOCAL SUBJECT
Local Subject Matemáticas Gerais-
Description subdivision (inclusive alguns textos elementares sobre assuntos específicos)
Linkage 23752
710 1# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service).
9 (RLIN) 8857
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783834805478
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/978-3-8348-9536-3">http://dx.doi.org/10.1007/978-3-8348-9536-3</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Instituto de Matemática Pura e Aplicada
Koha item type E-Book

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