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Magic Graphs

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Hardback
06 November 2012
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Magic squares are among the more popular mathematical recreations. Over the last 50 years, many generalizations of "magic" ideas have been applied to graphs. Recently there has been a resurgence of interest in "magic labelings" due to a number of results that have applications to the problem of decomposing graphs into trees.

Key features of this second edition include:

· a new chapter on magic labeling of directed graphs

· applications of theorems from graph theory and interesting counting arguments

· new research problems and exercises covering a range of difficulties

· a fully updated bibliography and index

This concise, self-contained exposition is unique in its focus on the theory of magic graphs/labelings. It may serve as a graduate or advanced undergraduate text for courses in mathematics or computer science, and as reference for the researcher.

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    Product Details
    ISBN-13
    9780817683900
    Author
    Alison M. Marr
    Publisher
    Springer Nature B.V.
    Published
    06 November 2012
    Format
    Hardback

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    $105.39
    Ships in 3-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Magic Graphs

    $105.39

    Description

    Magic squares are among the more popular mathematical recreations. Over the last 50 years, many generalizations of "magic" ideas have been applied to graphs. Recently there has been a resurgence of interest in "magic labelings" due to a number of results that have applications to the problem of decomposing graphs into trees.

    Key features of this second edition include:

    · a new chapter on magic labeling of directed graphs

    · applications of theorems from graph theory and interesting counting arguments

    · new research problems and exercises covering a range of difficulties

    · a fully updated bibliography and index

    This concise, self-contained exposition is unique in its focus on the theory of magic graphs/labelings. It may serve as a graduate or advanced undergraduate text for courses in mathematics or computer science, and as reference for the researcher.

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