On approximating shortest paths in weighted triangular tessellations

نویسندگان

چکیده

We study the quality of weighted shortest paths when a continuous 2-dimensional space is discretized by triangular tessellation. In order to evaluate how well tessellation approximates space, we three types paths: path~$ \mathit{SP_w}(s,t) $, which path from $ s t in space; vertex \mathit{SVP_w}(s,t) where vertices are tessellation; and grid \mathit{SGP_w}(s,t) whose edges The ratios \frac{\lVert \mathit{SGP_w}(s,t)\rVert}{\lVert \mathit{SP_w}(s,t)\rVert} \mathit{SVP_w}(s,t)\rVert}{\lVert \mathit{SVP_w}(s,t)\rVert} provide estimates on approximation. Given any arbitrary weight assignment faces tessellation, prove upper lower bounds that independent assignment. Our main result = \frac{2}{\sqrt{3}} \approx 1.15 worst case, this tight.

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ژورنال

عنوان ژورنال: Artificial Intelligence

سال: 2023

ISSN: ['2633-1403']

DOI: https://doi.org/10.1016/j.artint.2023.103898