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Books > Computing & IT > Applications of computing > Image processing

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Restricted-Orientation Convexity (Paperback, Softcover reprint of the original 1st ed. 2004) Loot Price: R1,542

Discovery Miles 15 420

Repayment Terms: R145 pm x 12*

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Restricted-Orientation Convexity (Paperback, Softcover reprint of the original 1st ed. 2004): Eugene Fink, Derick Wood

Restricted-Orientation Convexity (Paperback, Softcover reprint of the original 1st ed. 2004)

Eugene Fink, Derick Wood

Series: Monographs in Theoretical Computer Science. An EATCS Series

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Loot Price R1,542 Discovery Miles 15 420 | Repayment Terms: R145 pm x 12*

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Restricted-orientation convexity is the study of geometric objects whose intersections with lines from some fixed set are connected. This notion generalizes standard convexity and several types of nontraditional convexity. The authors explore the properties of this generalized convexity in multidimensional Euclidean space, and describ restricted-orientation analogs of lines, hyperplanes, flats, halfspaces, and identify major properties of standard convex sets that also hold for restricted-orientation convexity. They then introduce the notion of strong restricted-orientation convexity, which is an alternative generalization of convexity, and show that its properties are also similar to that of standard convexity.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Monographs in Theoretical Computer Science. An EATCS Series
Release date:	November 2012
First published:	2004
Authors:	Eugene Fink • Derick Wood
Dimensions:	235 x 155 x 6mm (L x W x T)
Format:	Paperback
Pages:	102
Edition:	Softcover reprint of the original 1st ed. 2004
ISBN-13:	978-3-642-62323-3
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Science & Mathematics > Mathematics > Geometry > Algebraic geometry Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	3-642-62323-9
Barcode:	9783642623233