Succinct indexable dictionaries with applications to encoding <i>k</i> -ary trees, prefix sums and multisets 论文

摘要

We consider the indexable dictionary problem, which consists of storing a set S ⊆ {0,…, m − 1} for some integer m while supporting the operations of rank( x ), which returns the number of elements in S that are less than x if x ∈ S , and −1 otherwise; and select( i ), which returns the i th smallest element in S . We give a data structure that supports both operations in O (1) time on the RAM model and requires B( n, m ) + o ( n ) + O (lg lg m ) bits to store a set of size n , where B( n, m ) = ⌊lg ( m / n )⌋ is the minimum number of bits required to store any n -element subset from a universe of size m . Previous dictionaries taking this space only supported (yes/no) membership queries in O (1) time. In the cell probe model we can remove the O (lg lg m ) additive term in the space bound, answering a question raised by Fich and Miltersen [1995] and Pagh [2001]. We present extensions and applications of our indexable dictionary data structure, including: —an information-theoretically optimal representation of a k -ary cardinal tree that supports standard operations in constant time; —a representation of a multiset of size n from {0,…, m − 1} in B( n, m + n ) + o ( n ) bits that supports (appropriate generalizations of) rank and select operations in constant time; and + O (lg lg m ) —a representation of a sequence of n nonnegative integers summing up to m in B( n, m + n ) + o ( n ) bits that supports prefix sum queries in constant time.