Publication View

Compressing Binary Decision Diagrams (2008)

Abstract
The paper introduces a new technique for compressing Binary Decision Diagrams in those cases where random access is not required. Using this technique, compression and decompression can be done in linear time in the size of the BDD and compression will in many cases reduce the size of the BDD to 1-2 bits per node. Empirical results for our compression technique are presented, including comparisons with previously introduced techniques, showing that the new technique dominate on all tested instances.. Comment: Full (tech-report) version of ECAI 2008 short paper

Publication details
Download http://arxiv.org/abs/0805.3267
Repository arXiv (United States)
Keywords Computer Science - Artificial Intelligence, Computer Science - Distributed, Parallel, and Cluster Computing
Type text