Introduction to Optimization and Hadamard Semidifferential Calculus, Michel Delfour

Автор: Charles J. Colbourn
Название: Algebraic Design Theory and Hadamard Matrices
ISBN: 3319372181 ISBN-13(EAN): 9783319372181
Издательство: Springer
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Цена: 102480.00 T
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Описание: Starting with applications in experimental design theory and the theory of error-correcting codes, they have found unexpected and important applications in cryptography, quantum information theory, communications, and networking.

Автор: Bashir Ahmad; Ahmed Alsaedi; Sotiris K. Ntouyas; J
Название: Hadamard-Type Fractional Differential Equations, Inclusions and Inequalities
ISBN: 3319521403 ISBN-13(EAN): 9783319521404
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book focuses on the recent development of fractional differential equations, integro-differential equations, and inclusions and inequalities involving the Hadamard derivative and integral.

Автор: Miroslav Bacak
Название: Convex analysis and optimization in Hadamard spaces
ISBN: 3110361035 ISBN-13(EAN): 9783110361032
Издательство: Walter de Gruyter
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Цена: 136310.00 T
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Описание: 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.