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Optimization of Temporal Networks under Uncertainty (Record no. 25783)

000 -LEADER
fixed length control field 02508nam a22004455i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310152711.0
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 140221s2012 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642234279
978-3-642-23427-9
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HD30.23
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.40301
Edition number 23
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2012.
912 ## -
-- ZDB-2-SBE
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Wiesemann, Wolfram.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Optimization of Temporal Networks under Uncertainty
Medium [electronic resource] /
Statement of responsibility, etc by Wolfram Wiesemann.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 160 p.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Advances in Computational Management Science,
International Standard Serial Number 1388-4301 ;
Volume number/sequential designation 11
520 ## - SUMMARY, ETC.
Summary, etc Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations. For example, temporal networks are used to model projects, computer applications, digital circuits and production processes. Optimization problems arise in temporal networks when a decision maker wishes to determine a temporal arrangement of the tasks and/or a resource assignment that optimizes some network characteristic (e.g. the time required to complete all tasks). The parameters of these optimization problems (e.g. the task durations) are typically unknown at the time the decision problem arises. This monograph investigates solution techniques for optimization problems in temporal networks that explicitly account for this parameter uncertainty. We study several formulations, each of which requires different information about the uncertain problem parameters.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Economics.
Topical term or geographic name as entry element Mathematical optimization.
Topical term or geographic name as entry element Economics, Mathematical.
Topical term or geographic name as entry element Operations research.
Topical term or geographic name as entry element Economics/Management Science.
Topical term or geographic name as entry element Operation Research/Decision Theory.
Topical term or geographic name as entry element Game Theory/Mathematical Methods.
Topical term or geographic name as entry element Optimization.
Topical term or geographic name as entry element Operations Research, Management Science.
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 9783642234262
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-23427-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-16AUM Main Library2014-04-16 2014-04-16 E-Book   AUM Main Library658.40301

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