Low rank decompositions for sum of squares optimization

Low rank decompositions for sum of squares optimization

Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2006. === Includes bibliographical references (leaves 77-79). === In this thesis, we investigate theoretical and numerical advantages of a novel representation for Sum of Squares (SOS) decompositio...

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Bibliographic Details
Main Author: Sun, Jia Li, S.M. Massachusetts Institute of Technology
Other Authors: Pablo A. Parrilo.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2007
Subjects:
Computation for Design and Optimization Program.
Online Access:http://hdl.handle.net/1721.1/39210

Internet

http://hdl.handle.net/1721.1/39210

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