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Locating Lines and Hyperplanes : Theory and Algorithms / by Anita Schöbel
(Applied Optimization ; 25)

1st ed. 1999.
出版者 (New York, NY : Springer US : Imprint: Springer)
出版年 1999
本文言語 英語
大きさ XII, 200 p : online resource
著者標目 *Schöbel, Anita author
SpringerLink (Online service)
件 名 LCSH:Mathematics
LCSH:Mathematics -- Data processing  全ての件名で検索
LCSH:Algorithms
LCSH:Algebras, Linear
LCSH:Potential theory (Mathematics)
FREE:Mathematics
FREE:Computational Mathematics and Numerical Analysis
FREE:Algorithms
FREE:Linear Algebra
FREE:Potential Theory
一般注記 Line and hyperplane location problems play an important role not only in operations research and location theory, but also in computational geometry and robust statistics. This book provides a survey on line and hyperplane location combining analytical and geometrical methods. The major portion of the text presents new results on this topic, including the extension of some special cases to all distances derived from norms and a discussion of restricted problems in the plane. Almost all results are proven in the text and most of them are illustrated by examples. Furthermore, relations to classical facility location and to problems in computational geometry are pointed out. Audience: The book is suitable for researchers, lecturers, and graduate students working in the fields of location theory or computational geometry
HTTP:URL=https://doi.org/10.1007/978-1-4615-5321-2
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電子ブック オンライン 電子ブック

Springer eBooks 9781461553212
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EB00231462

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データ種別 電子ブック
分 類 LCC:QA1-939
DC23:510
書誌ID 4000106385
ISBN 9781461553212

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