Higher order pseudospectral differentiation matrices
Applied Numerical Mathematics
A pseudospectral method of solution of Fisher's equation
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
Tracking discontinuities in hyperbolic conservation laws with spectral accuracy
Journal of Computational Physics
Spectral collocation solution of a generalized Hirota-Satsuma coupled KdV equation
International Journal of Computer Mathematics
Numerical solutions for constrained time-delayed optimal control problems
International Journal of Computer Mathematics
Adaptive pseudospectral solution of a diffuse interface model
Journal of Computational and Applied Mathematics
Dynamics and synchronization of numerical solutions of the Burgers equation
Journal of Computational and Applied Mathematics
Higher order pseudospectral differentiation matrices
Applied Numerical Mathematics
A modified Chebyshev pseudospectral DD algorithm for the GBH equation
Computers & Mathematics with Applications
Mathematical and Computer Modelling: An International Journal
Hi-index | 0.01 |
Spectral collocation methods have become very useful in providing highly accurate solutions to differential equations. A straightforward implementation of these methods involves the use of spectral differentiation matrices. To obtain optimal accuracy these matrices must be computed carefully. We demonstrate that naive algorithms for computing these matrices suffer from severe loss of accuracy due to roundoff errors. Several improvements are analyzed and compared. A number of numerical examples are provided, demonstrating significant differences between the sensitivity of the forward problem and the inverse problem.