Two dimensional range minimum queries and Fibonacci lattices

Gerth Stølting Brodal; Pooya Davoodi; Moshe Lewenstein; Rajeev Raman; Srinivasa Rao Satti

doi:10.1016/j.tcs.2016.02.016

Two dimensional range minimum queries and Fibonacci lattices

Gerth Stølting Brodal, Pooya Davoodi, Moshe Lewenstein, Rajeev Raman, Srinivasa Rao Satti

Department of Computer Science

Bar-Ilan University

Research output: Contribution to journal › Article › peer-review

Abstract

Given a matrix of size N, two dimensional range minimum queries (2D-RMQs) ask for the position of the minimum element in a rectangular range within the matrix. We study trade-offs between the query time and the additional space used by indexing data structures that support 2D-RMQs. Using a novel technique-the discrepancy properties of Fibonacci lattices-we give an indexing data structure for 2D-RMQs that uses O(N/c) bits additional space with O(clog c(log log c)²) query time, for any parameter c, 4≤c≤N. Also, when the entries of the input matrix are from {0, 1}, we show that the query time can be improved to O(clog c) with the same space usage.

Original language	English
Pages (from-to)	33-43
Number of pages	11
Journal	Theoretical Computer Science
Volume	638
DOIs	https://doi.org/10.1016/j.tcs.2016.02.016
State	Published - 25 Jul 2016

Keywords

Fibonacci lattices
Pattern matching
Range minimum queries

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

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10.1016/j.tcs.2016.02.016

Cite this

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title = "Two dimensional range minimum queries and Fibonacci lattices",

abstract = "Given a matrix of size N, two dimensional range minimum queries (2D-RMQs) ask for the position of the minimum element in a rectangular range within the matrix. We study trade-offs between the query time and the additional space used by indexing data structures that support 2D-RMQs. Using a novel technique-the discrepancy properties of Fibonacci lattices-we give an indexing data structure for 2D-RMQs that uses O(N/c) bits additional space with O(clog c(log log c)2) query time, for any parameter c, 4≤c≤N. Also, when the entries of the input matrix are from \{0, 1\}, we show that the query time can be improved to O(clog c) with the same space usage.",

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AU - Stølting Brodal, Gerth

AU - Davoodi, Pooya

AU - Lewenstein, Moshe

AU - Raman, Rajeev

AU - Satti, Srinivasa Rao

PY - 2016/7/25

Y1 - 2016/7/25

N2 - Given a matrix of size N, two dimensional range minimum queries (2D-RMQs) ask for the position of the minimum element in a rectangular range within the matrix. We study trade-offs between the query time and the additional space used by indexing data structures that support 2D-RMQs. Using a novel technique-the discrepancy properties of Fibonacci lattices-we give an indexing data structure for 2D-RMQs that uses O(N/c) bits additional space with O(clog c(log log c)2) query time, for any parameter c, 4≤c≤N. Also, when the entries of the input matrix are from {0, 1}, we show that the query time can be improved to O(clog c) with the same space usage.

AB - Given a matrix of size N, two dimensional range minimum queries (2D-RMQs) ask for the position of the minimum element in a rectangular range within the matrix. We study trade-offs between the query time and the additional space used by indexing data structures that support 2D-RMQs. Using a novel technique-the discrepancy properties of Fibonacci lattices-we give an indexing data structure for 2D-RMQs that uses O(N/c) bits additional space with O(clog c(log log c)2) query time, for any parameter c, 4≤c≤N. Also, when the entries of the input matrix are from {0, 1}, we show that the query time can be improved to O(clog c) with the same space usage.

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DO - 10.1016/j.tcs.2016.02.016

M3 - مقالة

SN - 0304-3975

VL - 638

SP - 33

EP - 43

JO - Theoretical Computer Science

JF - Theoretical Computer Science

ER -

Two dimensional range minimum queries and Fibonacci lattices

Abstract

Keywords

All Science Journal Classification (ASJC) codes

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