An O(n1.75) algorithm for L(2,1)-labeling of trees

Toru Hasunuma, Toshimasa Ishii, Hirotaka Ono, Yushi Uno

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

An L(2,1)-labeling of a graph G is an assignment f from the vertex set V(G) to the set of nonnegative integers such that |f(x)∈-∈f(y)| ≥ 2 if x and y are adjacent and |f(x)∈-∈f(y)| ≥ 1 if x and y are at distance 2 for all x and y in V(G). A k-L(2,1)-labeling is an assignment f:V(G)→{0,...,k}, and the L(2,1)-labeling problem asks the minimum k, which we denote by λ(G), among all possible assignments. It is known that this problem is NP-hard even for graphs of treewidth 2. Tree is one of a few classes for which the problem is polynomially solvable, but still only an time algorithm for a tree T has been known so far, where Δ is the maximum degree of T and n∈=∈|V(T)|. In this paper, we first show that an existent necessary condition for λ(T)∈=∈Δ∈+∈1 is also sufficient for a tree T with , which leads a linear time algorithm for computing λ(T) under this condition. We then show that λ(T) can be computed in time for any tree T. Combining these, we finally obtain an time algorithm, which substantially improves upon previously known results.

Original languageEnglish
Title of host publicationAlgorithm Theory - SWAT 2008 - 11th Scandinavian Workshop on Algorithm Theory, Proceedings
Pages185-197
Number of pages13
DOIs
Publication statusPublished - 2008
Event11th Scandinavian Workshop on Algorithm Theory, SWAT 2008 - Gothenburg, Sweden
Duration: Jul 2 2008Jul 4 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5124 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th Scandinavian Workshop on Algorithm Theory, SWAT 2008
Country/TerritorySweden
CityGothenburg
Period7/2/087/4/08

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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