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ICDCS
2000
IEEE
15 years 11 months ago
The Effect of Nogood Learning in Distributed Constraint Satisfaction
We present resolvent-based learning as a new nogood learning method for a distributed constraint satisfaction algorithm. This method is based on a look-back technique in constrain...
Makoto Yokoo, Katsutoshi Hirayama
ICASSP
2009
IEEE
16 years 1 months ago
Low-delay scheduling for Grassmannian beamforming with a SINR constraint
We are presenting an algorithm for scheduling users in a single-cell broadcast scenario. The presented algorithm aims to minimize the number of transmissions that are necessary to...
Claude Simon, Geert Leus
CIAC
2010
Springer
282views Algorithms» more  CIAC 2010»
15 years 10 months ago
Improved Approximations for TSP with Simple Precedence Constraints
In this paper, we consider variants of the traveling salesman problem with precedence constraints. We characterize hard input instances for Christofides' algorithm and Hoogeve...
Hans-Joachim Boeckenhauer, Ralf Klasing, Tobias Mo...
STOC
2005
ACM
111views Algorithms» more  STOC 2005»
16 years 7 months ago
Tensor decomposition and approximation schemes for constraint satisfaction problems
Wenceslas Fernandez de la Vega, Marek Karpinski, R...
TVCG
2008
91views more  TVCG 2008»
15 years 6 months ago
Texture Mapping with Hard Constraints Using Warping Scheme
Tong-Yee Lee, Shao-Wei Yen, I-Cheng Yeh