Approximation of Euclidean Metric by Digital Distances e-bog
436,85 DKK
(inkl. moms 546,06 DKK)
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 di...
E-bog
436,85 DKK
Forlag
Springer
Udgivet
2 december 2020
Genrer
PBD
Sprog
English
Format
epub
Beskyttelse
LCP
ISBN
9789811599019
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 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.