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AI
2003
Springer
14 years 25 days ago
A Graph Based Backtracking Algorithm for Solving General CSPs
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to constraints. While solving a CSP is an NP-complet...
Wanlin Pang, Scott D. Goodwin
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 5 months ago
Schaefer's theorem for graphs
Schaefer's theorem is a complexity classification result for so-called Boolean constraint satisfaction problems: it states that every Boolean constraint satisfaction problem ...
Manuel Bodirsky, Michael Pinsker
IPPS
1999
IEEE
13 years 12 months ago
A Structured Approach to Parallel Programming: Methodology and Models
Parallel programming continues to be difficult, despite substantial and ongoing research aimed at making it tractable. Especially dismaying is the gulf between theory and the pract...
Berna L. Massingill
CP
2009
Springer
14 years 8 months ago
Same-Relation Constraints
The ALLDIFFERENT constraint was one of the first global constraints [17] and it enforces the conjunction of one binary constraint, the not-equal constraint, for every pair of varia...
Christopher Jefferson, Karen E. Petrie, Meinolf Se...
CISSE
2008
Springer
13 years 9 months ago
From Constraints to Resolution Rules Part I : conceptual framework
: Many real world problems appear naturally as constraints satisfaction problems (CSP), for which very efficient algorithms are known. Most of these involve the combination of two ...
Denis Berthier