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» Approximating Boolean Functions by OBDDs
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MFCS
2004
Springer
13 years 10 months ago
Approximating Boolean Functions by OBDDs
In learning theory and genetic programming, OBDDs are used to represent approximations of Boolean functions. This motivates the investigation of the OBDD complexity of approximatin...
Andre Gronemeier
ISAAC
1995
Springer
135views Algorithms» more  ISAAC 1995»
13 years 8 months ago
The I/O - Complexity of Ordered Binary - Decision Diagram Manipulation
Ordered Binary-Decision Diagrams (OBDD) are the state-of-the-art data structure for boolean function manipulation and there exist several software packages for OBDD manipulation. ...
Lars Arge
COCOON
2006
Springer
13 years 8 months ago
Finding Small OBDDs for Incompletely Specified Truth Tables Is Hard
We present an efficient reduction mapping undirected graphs G with n = 2k vertices for integers k to tables of partially specified Boolean functions g : {0, 1}4k+1 {0, 1, } so tha...
Jesper Torp Kristensen, Peter Bro Miltersen
TCAD
1998
161views more  TCAD 1998»
13 years 4 months ago
Ordered Kronecker functional decision diagrams-a data structure for representation and manipulation of Boolean functions
— Ordered Kronecker functional decision diagrams (OKFDD’s) are a data structure for efficient representation and manipulation of Boolean functions. OKFDD’s are a generalizat...
Rolf Drechsler, Bernd Becker
CCL
1994
Springer
13 years 9 months ago
Ordered Binary Decision Diagrams and the Davis-Putnam Procedure
Abstract. We compare two prominent decision procedures for propositional logic: Ordered Binary Decision Diagrams (obdds) and the DavisPutnam procedure. Experimental results indicat...
Tomás E. Uribe, Mark E. Stickel