Minimum-Volume Ellipsoids

    By

    The first book in the area, this volume addresses the problem of finding an ellipsoid to represent a large set of points in high-dimensional space, which has applications in computational geometry, data representations, and optimal design in statistics. The book covers the formulation of this and related problems, theoretical properties of their optimal solutions, and algorithms for their solution. While algorithms of this kind have been discovered and rediscovered over the past fifty years, their computational complexities and convergence rates have only recently been investigated. The optimization problems in the book have the entries of a symmetric matrix as their variables, so the author's treatment also gives an introduction to recent work in matrix optimization. This book will be of interest to graduate students and researchers in operations research, theoretical statistics, data mining, complexity theory, computational geometry, and computational science.

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    Number of Pages: 163
    Format(s): Paperback - ISBN: 9781611974379
    Publication Date:
    Listed in: Optimization
    Publisher: Society for Industrial & Applied Mathematics,U.S.

    Books by Michael J. Todd

    Paperback

    RRP: £70.50

    Sale Price: £69.44

    Save: £1.06 per copy!

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