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Approximation Of Euclidean Metric By Digital Distances eBook
language: english
Publisher:
Springer Nature Singapore, December of 2020 ‧
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Ebook for ADE
SYNOPSIS
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.
DETAILS
| Property | Description |
|---|---|
| ISBN: | 9789811599019 |
| Publisher: | Springer Nature Singapore |
| Release Date: | December of 2020 |
| Language: | English |
| Format: | eBook |
| File Format and Compatibility: | |
| Collection: | Computer Science |
| Categories: |
eBooks in English
>
Science
>
Mathematics
|
| EAN: | 9789811599019 |
| Acessibilidade: | Ver características de acessibilidade indicadas pelo editor |
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