An enumerative algorithm for the maximum clique problem

Partial enumerative algorithms are presented for maximum clique problems which are very easy to implement. Search results for efficient implementation of any graph for randomly generated graphs of up to 10 vertices and more than ten sides. Appropriate specifications are also provided for testing p...

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Main Authors: Mustafa, Mamat, Suyudi, M., Sukono, ., Bon, A.T.
Format: Conference or Workshop Item
Language:English
Published: 2019
Subjects:
Online Access:http://eprints.unisza.edu.my/1867/1/FH03-FIK-20-37014.pdf
http://eprints.unisza.edu.my/1867/
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spelling my-unisza-ir.18672020-11-23T08:04:04Z http://eprints.unisza.edu.my/1867/ An enumerative algorithm for the maximum clique problem Mustafa, Mamat Suyudi, M. Sukono, . Bon, A.T. QA Mathematics Partial enumerative algorithms are presented for maximum clique problems which are very easy to implement. Search results for efficient implementation of any graph for randomly generated graphs of up to 10 vertices and more than ten sides. Appropriate specifications are also provided for testing problems to facilitate future comparisons. In addition, to understand the maximum clique search without using any software. Search results are presented in the form of examples. 2019 Conference or Workshop Item NonPeerReviewed text en http://eprints.unisza.edu.my/1867/1/FH03-FIK-20-37014.pdf Mustafa, Mamat and Suyudi, M. and Sukono, . and Bon, A.T. (2019) An enumerative algorithm for the maximum clique problem. In: 1st GCC International Conference on Industrial Engineering and Operations Management, IEOM 2019, 26-28 November 2019, riyadh; Saudi Arabia.
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Mustafa, Mamat
Suyudi, M.
Sukono, .
Bon, A.T.
An enumerative algorithm for the maximum clique problem
description Partial enumerative algorithms are presented for maximum clique problems which are very easy to implement. Search results for efficient implementation of any graph for randomly generated graphs of up to 10 vertices and more than ten sides. Appropriate specifications are also provided for testing problems to facilitate future comparisons. In addition, to understand the maximum clique search without using any software. Search results are presented in the form of examples.
format Conference or Workshop Item
author Mustafa, Mamat
Suyudi, M.
Sukono, .
Bon, A.T.
author_facet Mustafa, Mamat
Suyudi, M.
Sukono, .
Bon, A.T.
author_sort Mustafa, Mamat
title An enumerative algorithm for the maximum clique problem
title_short An enumerative algorithm for the maximum clique problem
title_full An enumerative algorithm for the maximum clique problem
title_fullStr An enumerative algorithm for the maximum clique problem
title_full_unstemmed An enumerative algorithm for the maximum clique problem
title_sort enumerative algorithm for the maximum clique problem
publishDate 2019
url http://eprints.unisza.edu.my/1867/1/FH03-FIK-20-37014.pdf
http://eprints.unisza.edu.my/1867/
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