Convex Analysis and Optimization in Hadamard Spaces

Miroslav Bacak

ISBN 10: 3110361035 / ISBN 13: 9783110361032

Published by De Gruyter Sep 2014, 2014

About this Item

Neuware - 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.

Seller Inventory # 9783110361032

Bibliographic Details

• Title: Convex Analysis and Optimization in Hadamard Spaces
• Publisher: De Gruyter Sep 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 3110361035
• ISBN 13: 9783110361032
• Binding: Buch
• Condition: Neu
• Dimensions: 246W x 175H x 17D millimeters 246 millimeters width by 175 millimeters height by 17 millimeters depth
• Weight: 517 grams

About this title

Synopsis

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.

About the Author

Miroslav Bačák, MPI Leipzig, Germany.