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DAM
2008
102views more  DAM 2008»
13 years 9 months ago
Formulas for approximating pseudo-Boolean random variables
We consider {0, 1}n as a sample space with a probability measure on it, thus making pseudo-Boolean functions into random variables. We then derive explicit formulas for approximat...
Guoli Ding, Robert F. Lax, Jianhua Chen, Peter P. ...
GECCO
2009
Springer
122views Optimization» more  GECCO 2009»
14 years 1 months ago
Visualising random boolean network dynamics
We propose a simple approach to visualising the time behaviour of Random Boolean Networks (RBNs), and demonstrate the approach by examining the effect of canalising functions for ...
Susan Stepney
ASPDAC
2005
ACM
117views Hardware» more  ASPDAC 2005»
14 years 3 months ago
Dynamic symmetry-breaking for improved Boolean optimization
With impressive progress in Boolean Satisfiability (SAT) solving and several extensions to pseudo-Boolean (PB) constraints, many applications that use SAT, such as highperformanc...
Fadi A. Aloul, Arathi Ramani, Igor L. Markov, Kare...
CORR
2010
Springer
154views Education» more  CORR 2010»
13 years 6 months ago
Complexity of Homogeneous Co-Boolean Constraint Satisfaction Problems
Constraint Satisfaction Problems (CSP) constitute a convenient way to capture many combinatorial problems. The general CSP is known to be NP-complete, but its complexity depends on...
Florian Richoux
FOCS
1999
IEEE
14 years 2 months ago
Boosting and Hard-Core Sets
This paper connects two fundamental ideas from theoretical computer science: hard-core set construction, a type of hardness amplification from computational complexity, and boosti...
Adam Klivans, Rocco A. Servedio