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020 _a9783031545504
_9978-3-031-54550-4
024 7 _a10.1007/978-3-031-54550-4
_2doi
050 4 _aQA273.A1-274.9
072 7 _aPBT
_2bicssc
072 7 _aPBWL
_2bicssc
072 7 _aMAT029000
_2bisacsh
072 7 _aPBT
_2thema
072 7 _aPBWL
_2thema
100 1 _aKing, Alan J.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_977923
245 1 0 _aModeling with Stochastic Programming
_h[electronic resource] /
_cby Alan J. King, Stein W. Wallace.
250 _a2nd ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXVIII, 202 p. 34 illus., 15 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Series in Operations Research and Financial Engineering,
_x2197-1773
505 0 _aUncertainty in Optimization -- Information Structures and Feasibility -- Modeling the Objective Function -- Scenario Tree Generation, With Michal Kaut and Jamie Fairbrother -- High-Dimentional Dependent Randomness. With Zhaoxia Guo and Michal Kaut -- Service Network Design, With Arnt-Gunnar Lium and Teodor Gabriel Crainic -- A Multi-dimensional Newsboy Problem with Substitution, With Hajnalka Vaagen -- References -- Index.
520 _aThis is an updated version of what is still the only text to address basic questions about how to model uncertainty in mathematical programming, including how to reformulate a deterministic model so that it can be analyzed in a stochastic setting. This second edition has important extensions regarding how to represent random phenomena in the models (also called scenario generation) as well as a new chapter on multi-stage models. This text would be suitable as a stand-alone or supplement for a second course in OR/MS or in optimization-oriented engineering disciplines where the instructor wants to explain where models come from and what the fundamental modeling issues are. The book is easy-to-read, highly illustrated with lots of examples and discussions. It will be suitable for graduate students and researchers working in operations research, mathematics, engineering and related departments where there is interest in learning how to model uncertainty. Alan King is a Research Staff Member at IBM's Thomas J. Watson Research Center in New York. Stein W. Wallace is a Professor of Operational Research and head of Center for Shipping and Logistics at NHH Norwegian School of Economics, Bergen, Norway.
650 0 _aProbabilities.
_965724
650 0 _aOperations research.
_957943
650 0 _aMathematical optimization.
_965522
650 0 _aNumerical analysis.
650 1 4 _aProbability Theory.
_967428
650 2 4 _aOperations Research and Decision Theory.
_967143
650 2 4 _aOptimization.
_965528
650 2 4 _aNumerical Analysis.
700 1 _aWallace, Stein W.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_977924
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031545498
776 0 8 _iPrinted edition:
_z9783031545511
776 0 8 _iPrinted edition:
_z9783031545528
830 0 _aSpringer Series in Operations Research and Financial Engineering,
_x2197-1773
_976963
856 4 0 _uhttps://doi.org/10.1007/978-3-031-54550-4
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
999 _c60334
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