Approximation of Euclidean Metric by Digital Distances is popular PDF and ePub book, written by Jayanta Mukhopadhyay in 2020-12-03, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Approximation of Euclidean Metric by Digital Distances can be Read Online from any device for your convenience.
Approximation of Euclidean Metric by Digital Distances Book PDF Summary
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.
Detail Book of Approximation of Euclidean Metric by Digital Distances PDF
- Author : Jayanta Mukhopadhyay
- Release : 03 December 2020
- Publisher : Springer
- ISBN : 9811599009
- Genre : Computers
- Total Page : 144 pages
- Language : English
- PDF File Size : 17,5 Mb
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