Publication Date:
2018
abstract:
The estimation of the differential properties of a function sampled at the vertices of a discrete domain is at the basis of many
applied sciences. In this paper, we focus on the computation of function gradients on triangle meshes. We study one face-based
method (the standard the facto), plus three vertex based methods. Comparisons regard accuracy, ability to perform on different
domain discretizations, and efficiency. We performed extensive tests and provide an in-depth analysis of our results. Besides
some behaviour that is common to all methods, in our study we found that, considering both accuracy and efficiency, some
methods are preferable to others. This directly translates to useful suggestions for the implementation of gradient estimators in
research and industrial code
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Mathematics of computing: Numerical differentiation; Computing methodologies: Mesh models; Human-centered computing: Scientific visualization
List of contributors:
Livesu, Marco
Book title:
STAG: Smart Tools and Applications in Graphics (2018)