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2004-01-14Buch DOI: 10.18452/8309
Melt control
dc.contributor.authorDupacová, Jitka
dc.contributor.authorPopela, Pavel
dc.contributor.editorHigle, Julie L.
dc.contributor.editorRömisch, Werner
dc.contributor.editorSen, Surrajeet
dc.date.accessioned2017-06-16T19:56:54Z
dc.date.available2017-06-16T19:56:54Z
dc.date.created2006-03-01
dc.date.issued2004-01-14
dc.date.submitted2003-11-14
dc.identifier.urihttp://edoc.hu-berlin.de/18452/8961
dc.description.abstractThis paper introduces melt control as a good case for application of two- and multistage stochastic programming models. Sources of uncertainties are described and several methods of input generation are presented. The implementation based on real data compares decisions and costs obtained by solving stochastic programs with different numbers of stages and a different structure of the scenario tree. The results give a clear evidence in favor of the proposed stochastic programming methodology.eng
dc.language.isoeng
dc.publisherHumboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, Institut für Mathematik
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.ddc510 Mathematik
dc.titleMelt control
dc.typebook
dc.identifier.urnurn:nbn:de:kobv:11-10059409
dc.identifier.urnurn:nbn:de:kobv:11-10059411
dc.identifier.doihttp://dx.doi.org/10.18452/8309
local.edoc.type-nameBuch
local.edoc.container-typeseries
local.edoc.container-type-nameSchriftenreihe
dc.title.subtitleCharge optimization via stochastic programming
dc.identifier.zdb2936317-2
bua.series.nameStochastic Programming E-Print Series
bua.series.issuenumber2004,2

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