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Published by Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10: 9811599009 ISBN 13: 9789811599002
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Add to basketCondition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
Published by Springer-Nature New York Inc, 2021
ISBN 10: 9811599009 ISBN 13: 9789811599002
Language: English
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Published by Springer Nature Singapore, Springer Nature Singapore Dez 2020, 2020
ISBN 10: 9811599009 ISBN 13: 9789811599002
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 168 pp. Englisch.
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Published by Springer Nature Singapore Dez 2020, 2020
ISBN 10: 9811599009 ISBN 13: 9789811599002
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 168 pp. Englisch.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers the topic of digital distances and their Euclidean approximation comprehensivelyIncludes recent results and advancement in the theory of digital distancesSummarizes properties of different classes of digital distances, and highlights.
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