Storing Set Families More Compactly with Top ZDDs

Zero-suppressed Binary Decision Diagrams (ZDDs) are data structures for representing set families in a compressed form. With ZDDs, many valuable operations on can be done time polynomial ZDD size. In some cases, however, the size of ZDDs large becomes too huge to store them main memory. This paper proposes top ZDD, novel representation which uses less space than existing ones. The is an extension tree, compresses trees, compress directed acyclic graphs by sharing identical subgraphs. We prove that navigational poly-logarithmic size, and show there exist exponentially smaller ZDD. also experimentally our have sizes real data.