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Bacak, Miroslav

Convex Analysis and Optimization in Hadamard Spaces

Series:De Gruyter Series in Nonlinear Analysis and Applications 22

    109,95 € / $154.00 / £100.00*

    eBook (PDF)
    Publication Date:
    October 2014
    Copyright year:
    2014
    ISBN
    978-3-11-036162-9
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    Overview

    Aims and Scope

    In the past two decades, convex analysis and optimization have been developed in Hadamard spaces. This book represents a first attempt to give a systematic account on the subject.

    Hadamard spaces are complete geodesic spaces of nonpositive curvature. They include Hilbert spaces, Hadamard manifolds, Euclidean buildings and many other important spaces. While the role of Hadamard spaces in geometry and geometric group theory has been studied for a long time, first analytical results appeared as late as in the 1990s. Remarkably, it turns out that Hadamard spaces are appropriate for the theory of convex sets and convex functions outside of linear spaces. Since convexity underpins a large number of results in the geometry of Hadamard spaces, we believe that its systematic study is of substantial interest. Optimization methods then address various computational issues and provide us with approximation algorithms which may be useful in sciences and engineering. We present a detailed description of such an application to computational phylogenetics.

    The book is primarily aimed at both graduate students and researchers in analysis and optimization, but it is accessible to advanced undergraduate students as well.

    Details

    viii, 185 pages
    Language:
    English
    Type of Publication:
    Monograph
    Keyword(s):
    Convex analysis; Convex optimization; Hadamard space; Metric geometry; Nonpositive curvature; Geodesic convexity

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    Miroslav Bačák, MPI Leipzig, Germany.

    Reviews

    "[…] very well-written and readable book […].The careful and detailed discussions of both theory and applications render this interesting and timely book accessible to researchers and students alike." Mathematical Reviews

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