## Abstract

In nearest larger value (NLV) problems, we are given an array A[1.n] of distinct numbers, and need to preprocess A to answer queries of the following form: given any index i∈[1,n], return a “nearest” index j such that A[j]>A[i]. We consider the variant where the values in A are distinct, and we wish to return an index j such that A[j]>A[i] and |j−i| is minimized, the nondirectional NLV (NNLV) problem. We consider NNLV in the encoding model, where the array A is deleted after preprocessing. The NNLV encoding problem turns out to have an unexpectedly rich structure: the effective entropy (optimal space usage) of the problem depends crucially on details in the definition of the problem. Of particular interest is the tiebreaking rule: if there exist two nearest indices j_{1},j_{2} such that A[j_{1}]>A[i] and A[j_{2}]>A[i] and |j_{1}−i|=|j_{2}−i|, then which index should be returned? For the tiebreaking rule where the rightmost (i.e., largest) index is returned, we encode a path-compressed representation of the Cartesian tree that can answer all NNLV queries in 1.89997n+o(n) bits, and can answer queries in O(1) time. An alternative approach, based on forbidden patterns, achieves a very similar space bound for two tiebreaking rules (including the one where ties are broken to the right), and (for a more flexible tiebreaking rule) achieves 1.81211n+o(n) bits. Finally, we develop a fast method of counting distinguishable configurations for NNLV queries. Using this method, we prove a lower bound of 1.62309n−Θ(1) bits of space for NNLV encodings for the tiebreaking rule where the rightmost index is returned.

Original language | English (US) |
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Pages (from-to) | 97-115 |

Number of pages | 19 |

Journal | Theoretical Computer Science |

Volume | 710 |

DOIs | |

State | Published - Feb 1 2018 |

## Keywords

- Data structures
- Encoding data structures
- Succinct data structures

## ASJC Scopus subject areas

- Theoretical Computer Science
- Computer Science(all)