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CONSTRAINTS
2010
126views more  CONSTRAINTS 2010»
14 years 12 months ago
Lexicographically-ordered constraint satisfaction problems
Abstract. We describe a simple CSP formalism for handling multi-attribute preference problems with hard constraints, one that combines hard constraints and preferences so the two a...
Eugene C. Freuder, Robert Heffernan, Richard J. Wa...
CORR
2010
Springer
171views Education» more  CORR 2010»
14 years 12 months ago
Randomized Lattice Decoding
Sphere decoding achieves maximum-likelihood (ML) performance at the cost of exponential complexity; lattice reduction-aided successive interference cancelation (SIC) significantly...
Shuiyin Liu, Cong Ling, Damien Stehlé
CORR
2010
Springer
130views Education» more  CORR 2010»
14 years 12 months ago
Phase Transitions for Greedy Sparse Approximation Algorithms
A major enterprise in compressed sensing and sparse approximation is the design and analysis of computationally tractable algorithms for recovering sparse, exact or approximate, s...
Jeffrey D. Blanchard, Coralia Cartis, Jared Tanner...
COR
2008
99views more  COR 2008»
14 years 12 months ago
Genetic local search for multicast routing with pre-processing by logarithmic simulated annealing
Over the past few years, several local search algorithms have been proposed for various problems related to multicast routing in the off-line mode. We describe a population-based ...
Mohammed S. Zahrani, Martin J. Loomes, James A. Ma...
CORR
2010
Springer
116views Education» more  CORR 2010»
14 years 12 months ago
Where are the hard manipulation problems?
One possible escape from the Gibbard-Satterthwaite theorem is computational complexity. For example, it is NP-hard to compute if the STV rule can be manipulated. However, there is...
Toby Walsh
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