mountebank 发表于 2025-3-21 18:47:50

书目名称Approximation of Euclidean Metric by Digital Distances影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0160443<br><br>        <br><br>书目名称Approximation of Euclidean Metric by Digital Distances影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0160443<br><br>        <br><br>书目名称Approximation of Euclidean Metric by Digital Distances网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0160443<br><br>        <br><br>书目名称Approximation of Euclidean Metric by Digital Distances网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0160443<br><br>        <br><br>书目名称Approximation of Euclidean Metric by Digital Distances被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0160443<br><br>        <br><br>书目名称Approximation of Euclidean Metric by Digital Distances被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0160443<br><br>        <br><br>书目名称Approximation of Euclidean Metric by Digital Distances年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0160443<br><br>        <br><br>书目名称Approximation of Euclidean Metric by Digital Distances年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0160443<br><br>        <br><br>书目名称Approximation of Euclidean Metric by Digital Distances读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0160443<br><br>        <br><br>书目名称Approximation of Euclidean Metric by Digital Distances读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0160443<br><br>        <br><br>

Permanent 发表于 2025-3-21 22:03:29

http://reply.papertrans.cn/17/1605/160443/160443_2.png

cauda-equina 发表于 2025-3-22 01:52:58

Linear Combination of Digital Distances,derestimated and overestimated norms. In particular, it presents an analysis on approximation of Euclidean metrics by a linear combination of weighted .-cost and chamfering weighted distance functions. The same theory is applied to get new results and insights in the approximation of Euclidean metri

过度 发表于 2025-3-22 06:22:56

Book 2020. 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

参考书目 发表于 2025-3-22 11:25:04

http://reply.papertrans.cn/17/1605/160443/160443_5.png

五行打油诗 发表于 2025-3-22 15:09:33

y of digital distances.Summarizes properties of different cl.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 er

Ophthalmologist 发表于 2025-3-22 20:48:17

http://reply.papertrans.cn/17/1605/160443/160443_7.png

ethnology 发表于 2025-3-22 22:36:39

http://reply.papertrans.cn/17/1605/160443/160443_8.png

工作 发表于 2025-3-23 01:35:25

http://reply.papertrans.cn/17/1605/160443/160443_9.png

Jargon 发表于 2025-3-23 05:35:55

Linear Combination of Digital Distances, .-cost and chamfering weighted distance functions. The same theory is applied to get new results and insights in the approximation of Euclidean metrics by other sub-classes such as m-neighbor, t-cost, weighted t-cost, and hyperoctagonal distances.
页: [1] 2 3 4
查看完整版本: Titlebook: Approximation of Euclidean Metric by Digital Distances; Jayanta Mukhopadhyay Book 2020 The Author(s), under exclusive license to Springer