| edoc-Server der Humboldt-Universität zu Berlin |
| Author(s): |
Ralf Gollmer, University of Duisburg-Essen Frederike Neise, University of Duisburg-Essen Rüdiger Schultz, University of Duisburg-Essen | Title: | Stochastic Programs with First-Order Dominance Constraints Induced by Mixed-Integer Linear Recourse |
| Date of Acceptance: | 03.06.2007 |
| Submission Date: | 08.01.2007 |
| Series Title: |
Stochastic Programming E-Print Series (SPEPS) |
| Editors: | Julie L. Higle; Werner Römisch; Surrajeet Sen |
| Complete Preprint: | pdf (urn:nbn:de:kobv:11-10078078) |
| Keywords (eng): | stochastic dominance, Stochastic integer programming, mixed-integer optimization |
| Metadata export:
|
Endnote Bibtex |
| print on demand:
|
|
| Diese Seite taggen:
|
| Abstract (eng): | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| We propose a new class of stochastic integer programs whose special features are dominance constraints induced by mixed-integer linear recourse. For these models, we establish closedness of the constraint set mapping with the underlying probability measure as parameter. In the case of finite probability spaces, the models are shown to be equivalent to large-scale, block-structured, mixed-integer linear programs. We propose a decomposition algorithm for the latter and discuss preliminary computational results. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Access Statistics:
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 May 2011:
|
|
| |||