Augmented Lagrangian Decomposition for Sparse Convex Optimization

3624 21 3641 3 7265 document 3641 WP-92-075.pdf application/pdf dbfcedc277aa802e1b3621883aaae60d MD5 717835 2016-01-15 02:01:48 https://pure.iiasa.ac.at/id/eprint/3624/1/WP-92-075.pdf 3624 1 1 text en public

WP-92-075.pdf

22 9c4e20088059653dbb22a1b96031caa86649d8a0 11702 2 19703 document 11702 lightbox.jpg image/png 06b3462d7bcbf892a7619376778d7f06 MD5 14730 2016-01-15 07:29:33 https://pure.iiasa.ac.at/id/eprint/3624/2/lightbox.jpg 3624 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/3641 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/3641 http://eprints.org/relation/islightboxThumbnailVersionOf https://pure.iiasa.ac.at/id/document/3641 11703 2 19704 document 11703 preview.jpg image/png d63414aada3f432c8fcac9464eff71de MD5 6947 2016-01-15 07:29:34 https://pure.iiasa.ac.at/id/eprint/3624/3/preview.jpg 3624 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/3641 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/3641 http://eprints.org/relation/ispreviewThumbnailVersionOf https://pure.iiasa.ac.at/id/document/3641 11704 2 19705 document 11704 medium.jpg image/png b7691ae5a0c28769c0c60fd65b5e9324 MD5 2743 2016-01-15 07:29:35 https://pure.iiasa.ac.at/id/eprint/3624/4/medium.jpg 3624 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/3641 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/3641 http://eprints.org/relation/ismediumThumbnailVersionOf https://pure.iiasa.ac.at/id/document/3641 11705 2 19706 document 11705 small.jpg image/png fcf9017887a3bc429e0714c3393aae0e MD5 1015 2016-01-15 07:29:36 https://pure.iiasa.ac.at/id/eprint/3624/5/small.jpg 3624 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/3641 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/3641 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/3641 11706 1 19707 document 11706 indexcodes.txt text/x-c++ 4695edf6806b78a4d0caced69158f753 MD5 7542 2016-01-15 07:29:37 https://pure.iiasa.ac.at/id/eprint/3624/6/indexcodes.txt 3624 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/3641 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/3641 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/3641 81646 2 228990 document 81646 WP-92-075.pdf application/pdf 0e9e32d016282e128be88acf1c080b2e MD5 1413862 2018-03-13 17:00:49 https://pure.iiasa.ac.at/id/eprint/3624/7/WP-92-075.pdf 3624 7 7 application/pdf other Coversheet version en public

WP-92-075.pdf

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/3641 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/3641 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/3641 archive 351 disk0/00/00/36/24 2016-01-15 02:01:48 2021-08-27 17:14:12 2016-01-15 02:01:48 monograph show 2 Ruszczynski A. 1475 Augmented Lagrangian Decomposition for Sparse Convex Optimization pub iis_met prog_ado A decomposition method for large-scale convex optimization problems with block-angular structure and many linking constraints is analyzed. The method is based on a separable approximation of the augmented Lagrangian function. Weak global convergence of the method is proved and speed of convergence analysed. It is shown that convergence properties of the method are heavily dependent on sparsity of the linking constraints. Application to large scale linear programming and stochastic programming is discussed. 1992-10 published WP-92-075 WP-92-075 10 1544 public working_paper IIASA, Laxenburg, Austria 23 FALSE info:eu-repo/semantics/book