A Scenario Tree-Based Decomposition for Solving Multistage Stochastic Programs (Record no. 108739)

000 -LEADER
fixed length control field 02074nam a22003855i 4500
001 - CONTROL NUMBER
control field 978-3-8348-9829-6
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220083819.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110128s2011 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783834898296
-- 978-3-8348-9829-6
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-8348-9829-6
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number T57-57.97
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBW
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT003000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Mahlke, Debora.
Relator term author.
245 12 - TITLE STATEMENT
Title A Scenario Tree-Based Decomposition for Solving Multistage Stochastic Programs
Medium [electronic resource] :
Remainder of title With Application in Energy Production /
Statement of responsibility, etc by Debora Mahlke.
264 #1 -
-- Wiesbaden :
-- Vieweg+Teubner,
-- 2011.
300 ## - PHYSICAL DESCRIPTION
Extent XVI, 182p. 14 illus.
Other physical details online resource.
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-- computer
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-- online resource
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520 ## - SUMMARY, ETC.
Summary, etc Optimization problems involving uncertain data arise in many areas of industrial and economic applications. Stochastic programming provides a useful framework for modeling and solving optimization problems for which a probability distribution of the unknown parameters is available. Motivated by practical optimization problems occurring in energy systems with regenerative energy supply, Debora Mahlke formulates and analyzes multistage stochastic mixed-integer models. For their solution, the author proposes a novel decomposition approach which relies on the concept of splitting the underlying scenario tree into subtrees. Based on the formulated models from energy production, the algorithm is computationally investigated and the numerical results are discussed.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Applications of Mathematics.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783834814098
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-8348-9829-6
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