LRM-trees: compressed indices, adaptive sorting, and compressed permutations

  • Authors:
  • Jérémy Barbay;Johannes Fischer;Gonzalo Navarro

  • Affiliations:
  • Department of Computer Science, University of Chile;Computer Science Department, Karlsruhe University;Department of Computer Science, University of Chile

  • Venue:
  • CPM'11 Proceedings of the 22nd annual conference on Combinatorial pattern matching
  • Year:
  • 2011

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Abstract

LRM-Trees are an elegant way to partition a sequence of values into sorted consecutive blocks, and to express the relative position of the first element of each block within a previous block. They were used to encode ordinal trees and to index integer arrays in order to support range minimum queries on them. We describe how they yield many other convenient results in a variety of areas: compressed succinct indices for range minimum queries on partially sorted arrays; a new adaptive sorting algorithm; and a compressed succinct data structure for permutations supporting direct and inverse application in time inversely proportional to the permutation's compressibility.