A binary decision diagram is a directed acyclic graph used to represent a Boolean function. They were originally introduced by Lee [1] , and later by Akers [2] . In 1986, Randal Bryant …

pyeda.boolalg.bdd — Binary Decision Diagrams¶ The pyeda.boolalg.bdd module implements Boolean functions represented as binary decision diagrams. Interface Functions: bddvar() — …

Binary Decision Diagrams (BDDs) in pure Python and Cython wrappers of CUDD, Sylvan, and BuDDy

Nov 1, 2022 · Binary Decision Diagram (BDD) is an effective way to represent the Switching function. It is a Data-Structure used to represent a Boolean Function and can be represented …

Dec 16, 2023 · dd is a package for working with binary decision diagrams that includes both a pure Python implementation and Cython bindings to C libraries (CUDD, Sylvan, BuDDy). The …

The starting point for using a BDD library is a shared reduced ordered binary decision diagram. Implementations call this manager. The adjectives mean: binary: each node represents a …

Apr 15, 2025 · Binary Decision Diagrams (BDDs) in pure Python and Cython wrappers of CUDD, Sylvan, and BuDDy. Demonstration of BDD-based SAT solver that generates checkable …

What can BDDs be used for? • Theorem (R. Bryant): If G, G’ are ROBDD’s of a Boolean function f with k inputs, using same variable ordering, then G and G’ are identical. Given a function with …

Apr 23, 2020 · With the Python package dd, which can be installed using the package manager pip with pip install dd, it is possible to convert the set of variable assignments where the …

Feb 11, 2021 · Is it possible to learn Binary Decision Diagrams (BDDs) from data (as in a machine learning fashion)? If so, how? Background: I've seen some tools in Python to do this task in …