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dc.creatorTorres Navarro, Luz
dc.date.accessioned2012-06-07T22:57:52Z
dc.date.available2012-06-07T22:57:52Z
dc.date.created1999
dc.date.issued1999
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-1999-THESIS-T67
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en
dc.descriptionIncludes bibliographical references (leaves 84-86).en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractTo devise a good algorithm for determining if two graphs are isomorphic, is of considerable practical importance, and is also of great theoretical interest due to its relationship to the concept of NP-completeness. There is no known algorithm that determines if two graphs are or are not isomorphic that runs in polynomial time, i.e., it is not known if graph isomorphism is in P. On the other hand, graph isomorphism [] NP but no one has shown that it is NP-complete. In this thesis we will give a polynomial time algorithm O(n⁵), ISO-MT, that seems' to solve the graph isomorphism decision problem correctly for all classes of graphs. Our algorithm is extremely useful from the practical point of view since counter examples (pairs of graphs for which our algorithm fails) will be so rare that ISO-MT can be safely used for any practical application.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subjectcomputer science.en
dc.subjectMajor computer science.en
dc.titleA heuristic algorithm for graph isomorphismen
dc.typeThesisen
thesis.degree.disciplinecomputer scienceen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


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