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» On Moderately Exponential Time for SAT
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FOCS
2006
IEEE
13 years 11 months ago
On the Optimality of the Dimensionality Reduction Method
We investigate the optimality of (1+ )-approximation algorithms obtained via the dimensionality reduction method. We show that: • Any data structure for the (1 + )-approximate n...
Alexandr Andoni, Piotr Indyk, Mihai Patrascu
CP
2009
Springer
14 years 6 months ago
Exploiting Problem Structure for Solution Counting
This paper deals with the challenging problem of counting the number of solutions of a CSP, denoted #CSP. Recent progress have been made using search methods, such as BTD [15], whi...
Aurélie Favier, Philippe Jégou, Simo...
FMCAD
2004
Springer
13 years 11 months ago
Increasing the Robustness of Bounded Model Checking by Computing Lower Bounds on the Reachable States
Most symbolic model checkers are based on either Binary Decision Diagrams (BDDs), which may grow exponentially large, or Satisfiability (SAT) solvers, whose time requirements rapi...
Mohammad Awedh, Fabio Somenzi
GECCO
2003
Springer
109views Optimization» more  GECCO 2003»
13 years 11 months ago
Real Royal Road Functions for Constant Population Size
Evolutionary and genetic algorithms (EAs and GAs) are quite successful randomized function optimizers. This success is mainly based on the interaction of different operators like ...
Tobias Storch, Ingo Wegener
CSR
2007
Springer
13 years 12 months ago
New Bounds for MAX-SAT by Clause Learning
To solve a problem on a given CNF formula F a splitting algorithm recursively calls for F[v] and F[¬v] for a variable v. Obviously, after the first call an algorithm obtains some...
Alexander S. Kulikov, Konstantin Kutzkov