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Classification algorithms for graphs, digraphs, and linear spaces

dc.contributor.authorAl-Azemi, Abdullah, author
dc.contributor.authorBetten, Anton, advisor
dc.date.accessioned2024-03-13T18:14:53Z
dc.date.available2024-03-13T18:14:53Z
dc.date.issued2007
dc.description.abstractCombinatorial incidence structures like graphs, digraphs, and linear spaces are defined modulo an isomorphism relation. Typically we are interested in determining complete systems of representatives of the isomorphism classes, in order to test conjectures or to prove existence or non-existence of examples for new theorems.
dc.description.abstractIn this thesis, we present classification algorithms for graphs, digraphs and incidence structures. We discuss both the use of invariants and the use of partition backtracking for solving the isomorphism problems of {0,1}-matrices.
dc.description.abstractAfter that, we consider the inverse problem of finding all structures for a given invariant. This leads to the composition principle for incidence structures and eventually to the computation of all 8, 592, 194, 823 linear spaces on 13 points.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifierETDF_Al-Azemi_2007_3279487.pdf
dc.identifier.urihttps://hdl.handle.net/10217/237543
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.rights.licensePer the terms of a contractual agreement, all use of this item is limited to the non-commercial use of Colorado State University and its authorized users.
dc.subjectclassification algorithms
dc.subjectdigraphs
dc.subjectgraphs
dc.subjectincidence structures
dc.subjectlinear spaces
dc.subjectmathematics
dc.titleClassification algorithms for graphs, digraphs, and linear spaces
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineMathematics
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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