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Distributed binary decision diagrams for symbolic reachability

Proceedings of the 24th ACM SIGSOFT International SPIN Symposium on Model Checking of Software, 2017
Decision diagrams are used in symbolic verification to concisely represent state spaces. A crucial symbolic verification algorithm is reachability: systematically exploring all reachable system states. Although both parallel and distributed reachability algorithms exist, a combined solution is relatively unexplored.
Wytse Oortwijn   +2 more
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Binary Decision Diagrams

2018
Binary decision diagrams provide a data structure for representing and manipulating Boolean functions in symbolic form. They have been especially effective as the algorithmic basis for symbolic model checkers. A binary decision diagram represents a Boolean function as a directed acyclic graph, corresponding to a compressed form of decision tree.
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Binary superposed quantum decision diagrams

Quantum Information Processing, 2009
The key theme of this work is the binary superposed decision diagrams or BSQDDs for short. The basic idea that lies behind BSQDDs is to represent a quantum superposition as a decision diagram where each node on each branch of a BSQDD corresponds to a gate.
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Binary Decision Diagram (BDD)

2009 International Conference on Future Computer and Communication, 2009
the primary aim of computer science is invention of new data structures and algorithms. Those data structures and algorithms could significantly help us to solve unsolved problems or let us give much better solutions for the already solved problems. In this paper we introduce BDD (Binary Decision Diagram) and its variants OBDD (Ordered Binary Decision ...
Farnaz Towhidi   +2 more
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On the Minimization of (Complete) Ordered Binary Decision Diagrams

Theory of Computing Systems, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On the Width of Ordered Binary Decision Diagrams

2014
Ordered binary decision diagrams (OBDDs) are a popular data structure for Boolean functions. One of its complexity measures is the width which has been investigated in several areas in computer science like machine learning, property testing, and the design and analysis of implicit graph algorithms.
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Binary Decision Diagrams

1999
Shin-ichi Minato, Saburo Muroga
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Evasiveness Through Binary Decision Diagrams

2023
Aransay, Jesús [0000-0002-4079-8307]   +2 more
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Binary Decision Diagrams

2010
Beate Bollig   +3 more
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Adiar Binary Decision Diagrams in External Memory

Lecture Notes in Computer Science, 2022
Steffan Sølvsten, J C Van De Pol
exaly  

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