Nonlinear approximation theory
Nonlinear approximation theory
ACM Transactions on Mathematical Software (TOMS)
On the errors incurred calculating derivatives using Chebyshev polynomials
Journal of Computational Physics
A modified Chebyshev pseudospectral method with an O(N–1) time step restriction
Journal of Computational Physics
Boundary Layer Resolving Pseudospectral Methods for Singular Perturbation Problems
SIAM Journal on Scientific Computing
Journal of Computational Physics
Essentials of Numerical Analysis with Pocket Calculator Demonstrations
Essentials of Numerical Analysis with Pocket Calculator Demonstrations
The linear rational collocation method
Journal of Computational and Applied Mathematics
SIAM Journal on Scientific Computing
Journal of Computational Physics
Algorithm 882: Near-Best Fixed Pole Rational Interpolation with Applications in Spectral Methods
ACM Transactions on Mathematical Software (TOMS)
Journal of Computational Physics
Barycentric rational interpolation with asymptotically monitored poles
Numerical Algorithms
Hi-index | 0.01 |
Classical rational interpolation is known to suffer from several drawbacks, such as unattainable points and randomly located poles for a small number of nodes, as well as an erratic behavior of the error as this number grows larger. In a former article, we have suggested to obtain rational interpolants by a procedure that attaches optimally placed poles to the interpolating polynomial, using the barycentric representation of the interpolants. In order to improve upon the condition of the derivatives in the solution of differential equation, we have then experimented with a conformal point shift suggested by Kosloff and Tal-Ezer. As it turned out, such shifts can achieve a spectacular improvement in the quality of the approximation itself for functions with a large gradient in the center of the interval. This leads us to the present work which combines the pole attachment method with shifts optimally adjusted to the interpolated function. Such shifts are also constructed for functions with several shocks away from the extremities of the interval.