Presentation 2007-04-26
On Convex Optimization over Base Polytopes
Kiyohito NAGANO,
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Abstract(in English) This note considers convex optimization problems over base polytopes of polymatroids. We show that the decomposition algorithm for the separable convex function minimization problems helps us give simple sufficient conditions for the rationality of optimal solutions and that it leads us to some interesting properties, including the equivalence of the lexicographically optimal base problem, introduced by Fujishige, and the submodular utility allocation market problem, introduced by Jain and Vazirani. In addition, we develop an efficient implementation of the decomposition algorithm via parametric submodular function minimization algorithms. Moreover, we show that, in some remarkable cases, non-separable convex optimization problems over base polytopes can be solved in strongly polynomial time.
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Keyword(in English) submodular functions / convex optimization
Paper # COMP2007-4
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Committee COMP
Conference Date 2007/4/19(1days)
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Registration To Theoretical Foundations of Computing (COMP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On Convex Optimization over Base Polytopes
Sub Title (in English)
Keyword(1) submodular functions
Keyword(2) convex optimization
1st Author's Name Kiyohito NAGANO
1st Author's Affiliation University of Tokyo:Kyoto University()
Date 2007-04-26
Paper # COMP2007-4
Volume (vol) vol.107
Number (no) 24
Page pp.pp.-
#Pages 7
Date of Issue