What Is a Good Linear Finite Element? Interpolation, Conditioning, Anisotropy, and Quality Measures
By Jonathan Richard Shewchuk. 2002
345 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/aef33780efe321623d90167c24fa49bceaef4ae3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Pierre Alliez
- David Cohen-Steiner
- Mathieu Desbrun
- Anil N. Hirani
- Fred L. Ogden
- Chuizheng Meng
- Sungyong Seo
- Alec Jacobson
Citations in the corpus
- Numerical Solution of Richards' Equation: A Review of Advances and Challenges (2017, background): “There is a traditional rule of thumb that large angles (hence aspect ratios) negatively impact approximation accuracy (Shewchuk, 2002).”
- Discrete Exterior Calculus (2003, background): “See, for example, Schewchuck [2002]. We will address such computational issues in a separate work.”
- Thingi10K: A Dataset of 10, 000 3D-Printing Models (2016, background): “Additional quality measures ([Shewchuk 2002; Attene 2013]) can be easily adopted.”
- Variational shape approximation (2004, methodology): “Note also that this partitioning method is quite different from previous clustering techniques: we use an integrated distortion error instead of a term based on local geometric criteria such as in [KT03].”
- Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics (2020, background): “It is unsuitable to directly use continuous differential operators to provide local behaviors because it is hard to approximate the continuous derivatives precisely with the sparse points (Shewchuk, 2002; Amenta & Kil, 2004; Luo et al., 2009).”