Chain Reduction for Binary and Zero-Suppressed Decision Diagrams
October 17, 2017 Β· Declared Dead Β· π Journal of automated reasoning
"No code URL or promise found in abstract"
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Authors
Randal E. Bryant
arXiv ID
1710.06500
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.LO
Citations
18
Venue
Journal of automated reasoning
Last Checked
3 months ago
Abstract
Chain reduction enables reduced ordered binary decision diagrams (BDDs) and zero-suppressed binary decision diagrams (ZDDs) to each take advantage of the others' ability to symbolically represent Boolean functions in compact form. For any Boolean function, its chain-reduced ZDD (CZDD) representation will be no larger than its ZDD representation, and at most twice the size of its BDD representation. The chain-reduced BDD (CBDD) of a function will be no larger than its BDD representation, and at most three times the size of its CZDD representation. Extensions to the standard algorithms for operating on BDDs and ZDDs enable them to operate on the chain-reduced versions. Experimental evaluations on representative benchmarks for encoding word lists, solving combinatorial problems, and operating on digital circuits indicate that chain reduction can provide significant benefits in terms of both memory and execution time.
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