descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 1999 English Publisher:Springer Science and Business Media LLCJournal:Annals of Operations Research, volume 85, pages 39-57 (issn: 0254-5330, eissn: 1572-9338,

Authors: M.H. van der Vlerk; W.K. Klein Haneveld;

doi: 10.1023/a:1018930113099

handle: 11370/ac5915ff-93d0-497b-a610-80dfdd1fc2b9

Stochastic integer programming:General models and algorithms

- Summary
- Subjects
- Metrics

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Related Organizations

University of Groningen
Netherlands

Keywords

Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming, RECOURSE, linear two-stage models, mixed-integer programming, STABILITY, CONTINUITY, Stochastic programming, DEMANDS, algorithms, stochastic programming, Mixed integer programming, recourse, mixed-integer recourse, stochastic integer programming, RANDOM TECHNOLOGY MATRIX

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	140
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%