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» Near-optimal algorithms for unique games
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SODA
2010
ACM
149views Algorithms» more  SODA 2010»
14 years 4 months ago
Sharp kernel clustering algorithms and their associated Grothendieck inequalities
abstract Subhash Khot Assaf Naor In the kernel clustering problem we are given a (large) n ? n symmetric positive semidefinite matrix A = (aij) with n i=1 n j=1 aij = 0 and a (sma...
Subhash Khot, Assaf Naor
WIOPT
2006
IEEE
14 years 1 months ago
Reverse engineering MAC
— This paper reverse-engineers backoff-based random-access MAC protocols in ad-hoc networks. We show that the contention resolution algorithm in such protocols is implicitly part...
Ao Tang, Jang-Won Lee, Jianwei Huang, Mung Chiang,...
SODA
2012
ACM
226views Algorithms» more  SODA 2012»
11 years 10 months ago
On the hardness of pricing loss-leaders
Consider the problem of pricing n items under an unlimited supply with m buyers. Each buyer is interested in a bundle of at most k of the items. These buyers are single minded, wh...
Preyas Popat, Yi Wu
VMV
2003
151views Visualization» more  VMV 2003»
13 years 8 months ago
Optimized Spatial Hashing for Collision Detection of Deformable Objects
We propose a new approach to collision and self– collision detection of dynamically deforming objects that consist of tetrahedrons. Tetrahedral meshes are commonly used to repre...
Matthias Teschner, Bruno Heidelberger, Matthias M&...
ICALP
2010
Springer
14 years 9 days ago
The Positive Semidefinite Grothendieck Problem with Rank Constraint
Given a positive integer n and a positive semidefinite matrix A = (Aij ) ∈ Rm×m the positive semidefinite Grothendieck problem with rank-nconstraint is (SDPn) maximize mX i=1 ...
Jop Briët, Fernando Mário de Oliveira ...