Relaxation method for large scale linear programming using decomposition

Cover title. "This paper is based in part on the technical report [17]."

Bibliographic Details
Other Authors: Tseng, Paul.
Language:eng
Published: Massachusetts Institute of Technology, Laboratory for Information and Decision Systems] 2003
Subjects:
Online Access:http://hdl.handle.net/1721.1/3068
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author2 Tseng, Paul.
author_facet Tseng, Paul.
collection MIT
description Cover title. "This paper is based in part on the technical report [17]."
first_indexed 2024-09-23T09:42:16Z
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institution Massachusetts Institute of Technology
language eng
last_indexed 2024-09-23T09:42:16Z
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spelling mit-1721.1/30682019-04-11T09:19:40Z Relaxation method for large scale linear programming using decomposition Tseng, Paul. Massachusetts Institute of Technology. Laboratory for Information and Decision Systems. TK7855.M41 E3845 no.1791 Cover title. "This paper is based in part on the technical report [17]." Includes bibliographical references. Supported by the National Science Foundation. NSF-ECS-8519058 Supported by the Army Research Office. DAAL03-86-K-0171 by Paul Tseng. 2003-04-29T15:31:02Z 2003-04-29T15:31:02Z 1988 http://hdl.handle.net/1721.1/3068 eng LIDS-P ; 1791 35 leaves 1779331 bytes application/pdf application/pdf Massachusetts Institute of Technology, Laboratory for Information and Decision Systems]
spellingShingle TK7855.M41 E3845 no.1791
Relaxation method for large scale linear programming using decomposition
title Relaxation method for large scale linear programming using decomposition
title_full Relaxation method for large scale linear programming using decomposition
title_fullStr Relaxation method for large scale linear programming using decomposition
title_full_unstemmed Relaxation method for large scale linear programming using decomposition
title_short Relaxation method for large scale linear programming using decomposition
title_sort relaxation method for large scale linear programming using decomposition
topic TK7855.M41 E3845 no.1791
url http://hdl.handle.net/1721.1/3068