Approximation of Euclidean Metric by Digital Distances
Jayanta MukhopadhyayThis 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 digital distances from the mid-sixties of the previous century. The book also contains an in-depth presentation of recent progress, and new research problems in this area.
年:
2020
出版:
1st ed.
出版社:
Springer Singapore;Springer
语言:
english
ISBN 10:
9811599017
ISBN 13:
9789811599019
文件:
PDF, 2.77 MB
IPFS:
,
english, 2020