|edoc-Server der Humboldt-Universität zu Berlin|
Werner Römisch, Humboldt-University|
Stefan Vigerske, Humboldt-University
|Title:||Quantitative stability of fully random mixed-integer two-stage stochastic programs|
|Date of Acceptance:||07.12.2007|
Stochastic Programming E-Print Series |
|Editors:||Julie L. Higle; Werner Römisch; Surrajeet Sen|
|Complete Preprint:||pdf (urn:nbn:de:kobv:11-10082280)|
|Keywords (eng):||stability, weak convergence, stochastic programming, two-stage, probability metric, mixed integer, discrepancy|
|Submitted in:||Optimization Letters|
|Metadata export: To export the complete metadata set as Endote or Bibtex format please click to the appropriate link.||Endnote Bibtex|
|print on demand: If you click on this icon you can order a print copy of this publication.|
|Mixed-integer two-stage stochastic programs with ﬁxed recourse matrix, random recourse costs, technology matrix, and right-hand sides are considered. Quantitative continuity properties of its optimal value and solution set are derived when the underlying probability distribution is perturbed with respect to an appropriate probability metric.|
These data concerning access statistics for individual documents
have been compiled using the webserver log files aggregated by AWSTATS.
They refer to a monthly access count to the full text documents as well as to the entry page.
As for format versions of a document which consist of multiple files (such as HTML) the highest monthly access number to one of the files (chapters) is shown respectivly.
To see the detailled access numbers please move the mouse pointer over the single bars of the digaram.
Gesamtzahl der Zugriffe seit Jul 2011: