Digital Distance Functions Defined by Sequence of Weights

In this paper, digital distance functions using sequences of weights are studied and used to approximate the Euclidian distance. Sequences of weights that guarantee a low maximum absolute error for path lengths of up to 10000 are calculated. A necessary condition and a sufficient condition for metri...

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Bibliographic Details
Main Author: Denev, Alexander
Format: Others
Language:English
Published: Uppsala universitet, Institutionen för informationsteknologi 2011
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-162025
Description
Summary:In this paper, digital distance functions using sequences of weights are studied and used to approximate the Euclidian distance. Sequences of weights that guarantee a low maximum absolute error for path lengths of up to 10000 are calculated. A necessary condition and a sufficient condition for metricity of this kind of distance function are established.