An almost-linear time and linear space algorithm for the longest common subsequence problem

J. Y. Guo; F. K. Hwang

doi:10.1016/j.ipl.2005.01.002

An almost-linear time and linear space algorithm for the longest common subsequence problem

J. Y. Guo^*
, F. K. Hwang

^*Corresponding author for this work

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

10 Citations (Scopus)

Abstract

There are two general approaches to the longest common subsequence problem. The dynamic programming approach takes quadratic time but linear space, while the nondynamic-programming approach takes less time but more space. We propose a new implementation of the latter approach which seems to get the best for both time and space for the DNA application.

Original language	English
Pages (from-to)	131-135
Number of pages	5
Journal	Information Processing Letters
Volume	94
Issue number	3
DOIs	https://doi.org/10.1016/j.ipl.2005.01.002
Publication status	Published - 2005 May 16
Externally published	Yes

Keywords

Algorithms
Longest common subsequence
Primal-dual algorithm

ASJC Scopus subject areas

Theoretical Computer Science
Signal Processing
Information Systems
Computer Science Applications

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10.1016/j.ipl.2005.01.002

Cite this

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title = "An almost-linear time and linear space algorithm for the longest common subsequence problem",

abstract = "There are two general approaches to the longest common subsequence problem. The dynamic programming approach takes quadratic time but linear space, while the nondynamic-programming approach takes less time but more space. We propose a new implementation of the latter approach which seems to get the best for both time and space for the DNA application.",

keywords = "Algorithms, Longest common subsequence, Primal-dual algorithm",

author = "Guo, \{J. Y.\} and Hwang, \{F. K.\}",

note = "Funding Information: ✩ Research partially supported by ROC National Science council grant NSC 90-2115-M-009-007. * Corresponding author. E-mail address: [email protected] (J.Y. Guo).",

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AU - Guo, J. Y.

AU - Hwang, F. K.

N1 - Funding Information: ✩ Research partially supported by ROC National Science council grant NSC 90-2115-M-009-007. * Corresponding author. E-mail address: [email protected] (J.Y. Guo).

PY - 2005/5/16

Y1 - 2005/5/16

N2 - There are two general approaches to the longest common subsequence problem. The dynamic programming approach takes quadratic time but linear space, while the nondynamic-programming approach takes less time but more space. We propose a new implementation of the latter approach which seems to get the best for both time and space for the DNA application.

AB - There are two general approaches to the longest common subsequence problem. The dynamic programming approach takes quadratic time but linear space, while the nondynamic-programming approach takes less time but more space. We propose a new implementation of the latter approach which seems to get the best for both time and space for the DNA application.

KW - Algorithms

KW - Longest common subsequence

KW - Primal-dual algorithm

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UR - https://www.scopus.com/pages/publications/15344344374#tab=citedBy

U2 - 10.1016/j.ipl.2005.01.002

DO - 10.1016/j.ipl.2005.01.002

M3 - Article

AN - SCOPUS:15344344374

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SP - 131

EP - 135

JO - Information Processing Letters

JF - Information Processing Letters

IS - 3

ER -

An almost-linear time and linear space algorithm for the longest common subsequence problem

Abstract

Keywords

ASJC Scopus subject areas

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