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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
The goal of our study is the find the shortest and straightest path between two points on a point cloud like data sets which also involves continuous data.
📌 3 Key Takeaways
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Objective & Hypothesis:Geodesics have a fundamental role in the geometry of curved surfaces, as well as in discrete geometry.
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Key Findings & Data:We present the time scale analogy of the dynamic data sets parameterized by a tensor product of two times scales.
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Conclusion & Impact:The goal of our study is the find the shortest and straightest path between two points on a point cloud like data sets which also involves continuous data.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
Geodesics have a fundamental role in the geometry of curved surfaces, as well as in discrete geometry. We present the time scale analogy of the dynamic data sets parameterized by a tensor product of two times scales. The goal of our study is the find the shortest and straightest path between two points on a point cloud like data sets which also involves continuous data.
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Cite This Article
ATMACA, S. P., AKGÜLLER, Ö. (2013). THE TIME SCALE CALCULUS APPROACH TO THE GEODESIC PROBLEM IN 3D DYNAMIC DATA SETS. Mathematical and Computational Applications, Cilt: 18 - Sayı: 3, 421–427. https://ajindex.com/articles/279803