Spectral methods on triangles and other domains
Journal of Scientific Computing
An Algorithm for Computing Fekete Points in the Triangle
SIAM Journal on Numerical Analysis
Rounding error analysis of the classical Gram-Schmidt orthogonalization process
Numerische Mathematik
Bivariate Lagrange interpolation at the Padua points: The generating curve approach
Journal of Approximation Theory
Uniform approximation by discrete least squares polynomials
Journal of Approximation Theory
Computational Geometry: Algorithms and Applications
Computational Geometry: Algorithms and Applications
Computing Multivariate Fekete and Leja Points by Numerical Linear Algebra
SIAM Journal on Numerical Analysis
Hi-index | 7.29 |
We construct symmetric polar WAMs (weakly admissible meshes) with low cardinality for least-squares polynomial approximation on the disk. These are then mapped to an arbitrary triangle. Numerical tests show that the growth of the least-squares projection uniform norm is much slower than the theoretical bound, and even slower than that of the Lebesgue constant of the best known interpolation points for the triangle. As opposed to good interpolation points, such meshes are straightforward to compute for any degree. The construction can be extended to polygons by triangulation.