Conditional Spaces
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Conditional Spaces
Author: Denise Tse-Shang Tang
language: en
Publisher: Hong Kong University Press
Release Date: 2011-05-01
Dense living conditions in Hong Kong do not provide much privacy for lesbians and other sexual minorities living with their families. As a result, lesbians often locate alternative spaces to develop support networks with other women. Others reject the notion of lesbian spaces and instead assert their visibility in different aspects of everyday life. Based on life history interviews with several dozen lesbians living in Hong Kong, this book maps the complex relations between personal subjectivities and spatialities as they emerge and interact with various social justice movements and alternative communities. Denise Tse-shang Tangis an assistant professor of sociology at the University of Hong Kong.
Mixed-Norm Inequalities and Operator Space $L_p$ Embedding Theory
Contains the proof of a noncommutative analogue of the inequality for sums of free random variables over a given von Neumann subalgebra.
Convex Analysis and Optimization in Hadamard Spaces
Author: Miroslav Bacak
language: en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date: 2014-10-29
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.