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SODA
2010
ACM
175views Algorithms» more  SODA 2010»
15 years 6 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
CISS
2011
IEEE
14 years 1 months ago
Improving aggregated forecasts of probability
—The Coherent Approximation Principle (CAP) is a method for aggregating forecasts of probability from a group of judges by enforcing coherence with minimal adjustment. This paper...
Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poo...
ESANN
2003
14 years 10 months ago
Improving iterative repair strategies for scheduling with the SVM
The resource constraint project scheduling problem (RCPSP) is an NP-hard benchmark problem in scheduling which takes into account the limitation of resources’ availabilities in ...
Kai Gersmann, Barbara Hammer
CP
2001
Springer
15 years 1 months ago
Fast Optimal Instruction Scheduling for Single-Issue Processors with Arbitrary Latencies
Instruction scheduling is one of the most important steps for improving the performance of object code produced by a compiler. The local instruction scheduling problem is to nd a m...
Peter van Beek, Kent D. Wilken
SIAMCOMP
2000
88views more  SIAMCOMP 2000»
14 years 9 months ago
Gadgets, Approximation, and Linear Programming
We present a linear programming-based method for nding \gadgets", i.e., combinatorial structures reducing constraints of one optimization problem to constraints of another. A...
Luca Trevisan, Gregory B. Sorkin, Madhu Sudan, Dav...