Low-degree graph partitioning via local search with applications to constraint satisfaction, max cut, and coloring

We present practical algorithms for constructing partitions of graphs into a fixed number of vertex-disjoint subgraphs that satisfy particular degree constraints. We use this in particular to find k-cuts of graphs of maximum degree ∆ that cut at least a k - 1/k (1 + 1/2∆+k-1 ) fraction of the edges,...

Full description

Saved in:
Bibliographic Details
Main Authors: Halldorsson, Magnus M., Lau, Hoong Chuin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1997
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/173
https://ink.library.smu.edu.sg/context/sis_research/article/1172/viewcontent/LauC1997LowDegree_Graph.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-1172
record_format dspace
spelling sg-smu-ink.sis_research-11722016-12-14T02:47:44Z Low-degree graph partitioning via local search with applications to constraint satisfaction, max cut, and coloring Halldorsson, Magnus M. Lau, Hoong Chuin We present practical algorithms for constructing partitions of graphs into a fixed number of vertex-disjoint subgraphs that satisfy particular degree constraints. We use this in particular to find k-cuts of graphs of maximum degree ∆ that cut at least a k - 1/k (1 + 1/2∆+k-1 ) fraction of the edges, improving previous bounds known. The partitions also apply to constraint networks, for which we give a tight analysis of natural local search heuristics for the maximum constraint satisfaction problem. These partitions also imply efficient approximations for several problems on weighted bounded-degree graphs. In particular, we improve the best performance ratio for the weighted independent set problem to 3/∆+2 , and obtain an efficient algorithm for coloring 3-colorable graphs with at most 3∆+2/4 colors. 1997-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/173 info:doi/10.7155/jgaa.00003 https://ink.library.smu.edu.sg/context/sis_research/article/1172/viewcontent/LauC1997LowDegree_Graph.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Numerical Analysis and Scientific Computing
spellingShingle Numerical Analysis and Scientific Computing
Halldorsson, Magnus M.
Lau, Hoong Chuin
Low-degree graph partitioning via local search with applications to constraint satisfaction, max cut, and coloring
description We present practical algorithms for constructing partitions of graphs into a fixed number of vertex-disjoint subgraphs that satisfy particular degree constraints. We use this in particular to find k-cuts of graphs of maximum degree ∆ that cut at least a k - 1/k (1 + 1/2∆+k-1 ) fraction of the edges, improving previous bounds known. The partitions also apply to constraint networks, for which we give a tight analysis of natural local search heuristics for the maximum constraint satisfaction problem. These partitions also imply efficient approximations for several problems on weighted bounded-degree graphs. In particular, we improve the best performance ratio for the weighted independent set problem to 3/∆+2 , and obtain an efficient algorithm for coloring 3-colorable graphs with at most 3∆+2/4 colors.
format text
author Halldorsson, Magnus M.
Lau, Hoong Chuin
author_facet Halldorsson, Magnus M.
Lau, Hoong Chuin
author_sort Halldorsson, Magnus M.
title Low-degree graph partitioning via local search with applications to constraint satisfaction, max cut, and coloring
title_short Low-degree graph partitioning via local search with applications to constraint satisfaction, max cut, and coloring
title_full Low-degree graph partitioning via local search with applications to constraint satisfaction, max cut, and coloring
title_fullStr Low-degree graph partitioning via local search with applications to constraint satisfaction, max cut, and coloring
title_full_unstemmed Low-degree graph partitioning via local search with applications to constraint satisfaction, max cut, and coloring
title_sort low-degree graph partitioning via local search with applications to constraint satisfaction, max cut, and coloring
publisher Institutional Knowledge at Singapore Management University
publishDate 1997
url https://ink.library.smu.edu.sg/sis_research/173
https://ink.library.smu.edu.sg/context/sis_research/article/1172/viewcontent/LauC1997LowDegree_Graph.pdf
_version_ 1770568910126448640