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Approximation of Euclidean Metric by Digital Distances

Af: Jayanta Mukhopadhyay Engelsk Paperback

Approximation of Euclidean Metric by Digital Distances

Af: Jayanta Mukhopadhyay Engelsk Paperback
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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. 

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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. 

Produktdetaljer
Sprog: Engelsk
Sider: 144
ISBN-13: 9789811599002
Indbinding: Paperback
Udgave:
ISBN-10: 9811599009
Udg. Dato: 3 dec 2020
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Verlag, Singapore
Oplagsdato: 3 dec 2020
Forfatter(e): Jayanta Mukhopadhyay
Forfatter(e) Jayanta Mukhopadhyay


Kategori Funktionsanalyse og transformation


ISBN-13 9789811599002


Sprog Engelsk


Indbinding Paperback


Sider 144


Udgave


Længde 0mm


Bredde 155mm


Højde 235mm


Udg. Dato 3 dec 2020


Oplagsdato 3 dec 2020


Forlag Springer Verlag, Singapore

Kategori sammenhænge