2026-09-19T12:16:37Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/106712021-07-05T14:03:20Zcom_1721.1_7582com_1721.1_7581col_1721.1_131022
Dimitris J. Bertsimas.
Teo, Chungpiaw
Sloan School of Management
Massachusetts Institute of Technology. Operations Research Center
2005-08-18T17:41:38Z
2005-08-18T17:41:38Z
1996
1996
http://hdl.handle.net/1721.1/10671
36373970
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1996.
Includes bibliographical references (p. 168-179).
by Chung-Piaw Teo.
Ph.D.
179 p.
12707188 bytes
12706946 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Sloan School of Management
Constructing approximation algorithms via linear programming relaxations : primal dual and randomized rounding techniques
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