Computer Science – Artificial Intelligence
Scientific paper
2008-05-21
Computer Science
Artificial Intelligence
Full (tech-report) version of ECAI 2008 short paper
Scientific paper
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.
Hansen Esben Rune
Rao Srinivasa S.
Tiedemann Peter
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