Description: Approximation of Euclidean Metric by Distances, Paperback by Mukhopadhyay, Jayanta, ISBN 9811599009, ISBN-13 9789811599002, Like New Used, Free shipping in the US This book discusses different types of distance functions defined in an n-D integral space for their usefulness in approximating the Euclidean metric. It discusses the properties of these distance functions and presents various kinds of error analysis in approximating Euclidean metrics. It also presents a historical perspective on efforts and motivation for approximating Euclidean metrics by distances from the mid-sixties of the previous century. Th also contains an in-depth presentation of recent progress, and new research problems in this area.
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Book Title: Approximation of Euclidean Metric by Digital Distances
Number of Pages: Xx, 144 Pages
Language: English
Publication Name: Approximation of Euclidean Metric by Digital Distances
Publisher: Springer
Subject: Functional Analysis, Computer Science, Computer Vision & Pattern Recognition
Publication Year: 2020
Item Weight: 16 Oz
Type: Textbook
Author: Jayanta Mukhopadhyay
Item Length: 9.3 in
Subject Area: Mathematics, Computers
Item Width: 6.1 in
Format: Trade Paperback
