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» Fast SDP Algorithms for Constraint Satisfaction Problems
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IAT
2006
IEEE
14 years 2 months ago
Using Prior Knowledge to Improve Distributed Hill Climbing
The Distributed Probabilistic Protocol (DPP) is a new, approximate algorithm for solving Distributed Constraint Satisfaction Problems (DCSPs) that exploits prior knowledge to impr...
Roger Mailler
TCC
2009
Springer
169views Cryptology» more  TCC 2009»
14 years 9 months ago
Goldreich's One-Way Function Candidate and Myopic Backtracking Algorithms
Abstract. Goldreich (ECCC 2000) proposed a candidate one-way function construction which is parameterized by the choice of a small predicate (over d = O(1) variables) and of a bipa...
James Cook, Omid Etesami, Rachel Miller, Luca Trev...
ICCAD
1999
IEEE
84views Hardware» more  ICCAD 1999»
14 years 1 months ago
OPTIMISTA: state minimization of asynchronous FSMs for optimum output logic
The optimal state minimization problem is to select a reduced state machine having the best logic implementation over all possible state reductions and encodings. A recent algorit...
Robert M. Fuhrer, Steven M. Nowick
ECAI
2004
Springer
14 years 14 days ago
Encoding Quantified CSPs as Quantified Boolean Formulae
Quantified Constraint Satisfaction Problems (QCSPs) are CSPs in which some variables are universally quantified. For each possible value of such variables, we have to find ways to ...
Ian P. Gent, Peter Nightingale, Andrew G. D. Rowle...
CORR
1998
Springer
126views Education» more  CORR 1998»
13 years 8 months ago
Stable models and an alternative logic programming paradigm
In this paper we reexamine the place and role of stable model semantics in logic programming and contrast it with a least Herbrand model approach to Horn programs. We demonstrate ...
Victor W. Marek, Miroslaw Truszczynski