Presentation 2009-10-16
Breaking the Rectangle Bound Barrier against Formula Size Lower Bounds
Kenya UENO,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Karchmer, Kushilevitz and Nisan formulated the formula size problem as an integer programming problem called the rectangle bound and introduced a technique called the LP bound, which gives a formula size lower bound by showing a feasible solution of the dual problem of its LP-relaxation. As extensions of the LP bound, we introduce novel general techniques proving formula size lower bounds, named as a quasi-additive bound and the Sherali-Adams bound. While the Sherali-Adams bound is potentially strong enough to give a lower bound matching to the rectangle bound, we prove that the quasi-additive bound can surpass the rectangle bound. We also discuss structure of the universal relation towards its matching bound because we can derive a formula size lower bound of any Boolean function from a solution of the quasi-additive bound for the universal relation.
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Keyword(in English) Formal Complexity Measures / Formula Size / Lift-and-Project Methods / Linear Programming
Paper # COMP2009-38
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Conference Information
Committee COMP
Conference Date 2009/10/9(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) Breaking the Rectangle Bound Barrier against Formula Size Lower Bounds
Sub Title (in English)
Keyword(1) Formal Complexity Measures
Keyword(2) Formula Size
Keyword(3) Lift-and-Project Methods
Keyword(4) Linear Programming
1st Author's Name Kenya UENO
1st Author's Affiliation Department of Computer Science, Graduate School of Information Science and Technology, The University of Tokyo()
Date 2009-10-16
Paper # COMP2009-38
Volume (vol) vol.109
Number (no) 235
Page pp.pp.-
#Pages 8
Date of Issue