Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/547918
Title: Decompositions of hypercube graphs into paths cycles and stars
Researcher: Saranya D
Guide(s): Jeevadoss S
Keywords: Cycles and Stars
Graph Decomposition
Hypercube Graph
University: Anna University
Completed Date: 2024
Abstract: The current research of graph decomposition has been one of the newlinemost prominent areas of graph theory, since many combinatorial, algebraic newlineand other mathematical structures are linked to graph decomposition which newlinemakes their research a great theoretical importance. In addition to it, the results newlineof graph decomposition can be used in design of experiments, coding theory, newlineradio astronomy, X-ray crystallography, computer and communication newlinenetworks and in other fields. newlineThe significance of cube graphs is intensively studied in graph newlinetheory and the interest in hypercube graphs has been escalated by the recent newlineadvent of massively parallel computers whose structure is that of hypercube newlinegraphs. The hypercube graph is the generalization of a cube into more newlinedimensions. The hypercube graph topology proposes ample interconnection newlinestructures with large bandwidth capabilities, logarithmic diameter measures, newlineand extreme magnitude of fault tolerance. Another intriguing attribute of the newlinehypercube graph is its homogeneity and symmetry. It is understood that from newlinea topological point of view, the hypercube graph facilitates a perfect balance newlinebetween node connectivity, network diameter, and algorithm embeddability newlinewhich ultimately makes the programming easier. This balance makes the newlinehypercube graph suitable for a wide class of computationally extensive newlineproblems. newline
Pagination: ix,131p.
URI: http://hdl.handle.net/10603/547918
Appears in Departments:Faculty of Science and Humanities

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02_prelim pages.pdf2.45 MBAdobe PDFView/Open
03_contents.pdf3.11 MBAdobe PDFView/Open
04_abstracts.pdf3.11 MBAdobe PDFView/Open
05_chapter1.pdf3.11 MBAdobe PDFView/Open
06_chapter2.pdf3.11 MBAdobe PDFView/Open
07_chapter3.pdf3.11 MBAdobe PDFView/Open
08_chapter4.pdf3.11 MBAdobe PDFView/Open
09_annexures.pdf84.83 kBAdobe PDFView/Open
80_recommendation.pdf84.83 kBAdobe PDFView/Open
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