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 introduced the reduced, ordered BDD (ROBDD) [3] .

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

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 Python and Cython modules implement the same API, so the same user code runs with both.

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 Boolean function is TRUE to a binary decision diagram.

pyeda.boolalg.bdd — Binary Decision Diagrams¶ The pyeda.boolalg.bdd module implements Boolean functions represented as binary decision diagrams. Interface Functions: bddvar() — Return a unique BDD variable; expr2bdd() — Convert an expression into a binary decision diagram; bdd2expr() — Convert a binary decision diagram into an expression

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 as a compressed form of sets or relations.

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 propositional formula; ordered: variables have a fixed order that changes in a controlled way

Mar 8, 2021 · The py-mdd library uses a Binary Decision Diagram to represent a multi-valued function. The encoding slighly differs from the standard reduction from mdds to bdds by assuming the following: If a variable encoding is invalid, then the bdd maps it to 0.

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 proofs of unsatisfiability. Details provided in paper: R. E. Bryant and M. J. H. Heule, "Generating Extended Resolution Proofs in a BDD-based SAT Solver," TACAS 2021.

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 e.g., Decision Trees ...