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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
In this sense, we extend the polar taxicab distance function defined in [7] to three dimesional analytical space
📌 3 Key Takeaways
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Objective & Hypothesis:The aim of this paper is to provide an alternative distance function instead of Euclidean distance, which is very much used in navigation and spherical trigonometry will contribute to advancement of logistics and optimal facility location on spherical surfaces [8].
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Key Findings & Data:The aim of this paper is to provide an alternative distance function instead of Euclidean distance, which is very much used in navigation and spherical trigonometry will contribute to advancement of logistics and optimal facility location on spherical surfaces [8].
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Conclusion & Impact:In this sense, we extend the polar taxicab distance function defined in [7] to three dimesional analytical space
🔬Design:Article
📍Scope:Comprehensive Sample
⚙️Variables:Metric Geometry · distane geometry · metric
Abstract
The aim of this paper is to provide an alternative distance function instead of Euclidean distance, which is very much used in navigation and spherical trigonometry will contribute to advancement of logistics and optimal facility location on spherical surfaces [8]. In this sense, we extend the polar taxicab distance function defined in [7] to three dimesional analytical space
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Cite This Article
Ermiş, T., Gelişgen, Ö. (2016). ON AN EXTENSION OF THE POLAR TAXICAB DISTANCE IN SPACE. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, Volume: 65 Issue: 2. https://doi.org/10.1501/Commua1_0000000757