Overview
- The first book dedicated to the topic of minisum hyperspheres
- Provides a self-contained introduction to the topic
- Includes an overview of the theory as well problem-solving strategies
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 51)
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Table of contents (6 chapters)
Keywords
About this book
This book presents a self-contained introduction to the theory of minisum hyperspheres. This specialized research area within the larger field of geometric optimization is full of interesting and open problems.
This work provides an overview of the history of minisum hyperspheres as well as describes the best techniques for developing and solving minisum hypersphere problems. Various related areas of geometric and nonlinear optimization are also discussed.
As the first publication devoted to this area of research, this work will be of great interest to graduate-level researchers studying minisum hypersphere problems as well as mathematicians interested geometric optimization.
Reviews
From the reviews:
“This little book is fully devoted to what is known about the following median hypersphere problem and several of its variants … . This book will be of interest to any researcher interested in continuous location theory and/or distance geometry.” (Frank Plastria, Mathematical Reviews, Issue 2012 f)Authors and Affiliations
Bibliographic Information
Book Title: Minisum Hyperspheres
Authors: Mark-Christoph Körner
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-1-4419-9807-1
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Hardcover ISBN: 978-1-4419-9806-4Published: 29 June 2011
Softcover ISBN: 978-1-4614-2918-0Published: 01 August 2013
eBook ISBN: 978-1-4419-9807-1Published: 24 June 2011
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: VIII, 116
Topics: Geometry, Optimization