On the Regularized Decomposition Method for Two Stage Stochastic Linear Problems

5011 24 4314 3 9325 document 4314 WP-96-014.pdf application/pdf 95175d7b328c86d457c89dc98f40103b MD5 304412 2016-01-15 02:08:16 https://pure.iiasa.ac.at/id/eprint/5011/1/WP-96-014.pdf 5011 1 1 text en public

WP-96-014.pdf

22 2dd8581837e36fa80a672b042d4ddbf1fd1758f1 8840 2 16841 document 8840 lightbox.jpg image/png 6745bf411b20accae318a72e87fb850c MD5 14731 2016-01-15 05:15:42 https://pure.iiasa.ac.at/id/eprint/5011/2/lightbox.jpg 5011 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

lightbox.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/4314 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/4314 http://eprints.org/relation/islightboxThumbnailVersionOf https://pure.iiasa.ac.at/id/document/4314 8841 2 16842 document 8841 preview.jpg image/png eb607ae7e2035eb6d17904d923354ff3 MD5 6835 2016-01-15 05:15:43 https://pure.iiasa.ac.at/id/eprint/5011/3/preview.jpg 5011 3 3 image/png other Thumbnails conversion from text to thumbnail_preview en public

preview.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/4314 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/4314 http://eprints.org/relation/ispreviewThumbnailVersionOf https://pure.iiasa.ac.at/id/document/4314 8842 2 16843 document 8842 medium.jpg image/png e8349790f4539683d3b1b7dbe83730d2 MD5 3751 2016-01-15 05:15:43 https://pure.iiasa.ac.at/id/eprint/5011/4/medium.jpg 5011 4 4 image/png other Thumbnails conversion from text to thumbnail_medium en public

medium.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/4314 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/4314 http://eprints.org/relation/ismediumThumbnailVersionOf https://pure.iiasa.ac.at/id/document/4314 8843 2 16844 document 8843 small.jpg image/png c5ad1ff95120edfec98f9af7c189ada3 MD5 1097 2016-01-15 05:15:44 https://pure.iiasa.ac.at/id/eprint/5011/5/small.jpg 5011 5 5 image/png other Thumbnails conversion from text to thumbnail_small en public

small.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/4314 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/4314 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/4314 8859 1 16860 document 8859 indexcodes.txt text/x-c++ 882efce81b45ec7dd42f33bad8471f0b MD5 10077 2016-01-15 05:16:20 https://pure.iiasa.ac.at/id/eprint/5011/6/indexcodes.txt 5011 6 6 text/x-c++ other Generate index codes conversion from text to indexcodes en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/4314 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/4314 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/4314 81096 2 227156 document 81096 WP-96-014.pdf application/pdf f48caeee73d1e2f187f995c94d47a7bd MD5 991192 2018-03-13 14:42:32 https://pure.iiasa.ac.at/id/eprint/5011/7/WP-96-014.pdf 5011 7 7 application/pdf other Coversheet version en public

WP-96-014.pdf

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/4314 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/4314 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/4314 archive 351 disk0/00/00/50/11 2016-01-15 02:08:16 2021-08-27 17:15:52 2016-01-15 02:08:16 monograph show 2 Ruszczynski A. 1475 Swietanowski A. AL1272 On the Regularized Decomposition Method for Two Stage Stochastic Linear Problems pub iis_met iis_mod prog_opt A new approach to the regularized decomposition (RD) algorithm for two stage stochastic problems is presented. The RD method combines the ideas of the Dantzig-Wolfe decomposition principle and modern nonsmooth optimization methods. A new subproblem solution method using the primal simplex algorithm for linear programming is proposed and then tested on a number of large scale problems. The new approach makes it possible to use a more general problem formulation and thus allows considerably more freedom when creating the model. The computational results are highly encouraging. 1996-02 published WP-96-014 WP-96-014 10 1544 2438 public working_paper IIASA, Laxenburg, Austria 25 FALSE info:eu-repo/semantics/book