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» Fast SDP Algorithms for Constraint Satisfaction Problems
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SODA
2010
ACM
175views Algorithms» more  SODA 2010»
14 years 1 months ago
Fast SDP Algorithms for Constraint Satisfaction Problems
The class of constraint satisfactions problems (CSPs) captures many fundamental combinatorial optimization problems such as Max Cut, Max q-Cut, Unique Games, and Max k-Sat. Recent...
David Steurer
ICASSP
2011
IEEE
12 years 8 months ago
Fast algorithm for beamforming problems in distributed communication of relay networks
A sequential quadratic programming (SQP) method is proposed to solve the distributed beamforming problem in multiple relay networks. The problem is formulated as the minimization ...
Cong Sun, Yaxiang Yuan
ICML
2009
IEEE
14 years 5 months ago
SimpleNPKL: simple non-parametric kernel learning
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi
JMLR
2006
124views more  JMLR 2006»
13 years 4 months ago
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problem
The rise of convex programming has changed the face of many research fields in recent years, machine learning being one of the ones that benefitted the most. A very recent develop...
Tijl De Bie, Nello Cristianini
SODA
2001
ACM
93views Algorithms» more  SODA 2001»
13 years 5 months ago
Improved algorithms for 3-coloring, 3-edge-coloring, and constraint satisfaction
We consider worst case time bounds for NP-complete problems including 3-SAT, 3-coloring, 3-edge-coloring, and 3list-coloring. Our algorithms are based on a constraint satisfaction...
David Eppstein