We are concerned with accurate Chebyshev collocation (ChC) solutions to fourth order eigenvalue problems. We consider the 1D case as well as the 2D case. In order to improve the accuracy of computation we use the precondtitioning strategy for second order differential operator introduced by Labrosse in 2009. The fourth order differential operator is factorized as a product of second order operators. In order to asses the accuracy of our method we calculate the so called drift of the first five eigenvalues. In both cases ChC method with the considered preconditioners provides accurate eigenpairs of interest
AbstractWe find an asymptotic expression for the first eigenvalue of the biharmonic operator on a lo...
We propose an efficient implementation of the Chebyshev Galerkin spectral method for the biharmonic...
An efficient preconditioner for the Chebyshev differencing operator is considered. The corresponding...
This paper is concerned with the accurate numerical approximation of the spectral properties of the ...
This paper is concerned with the accurate numerical approximation of the spectral properties of the ...
This paper is concerned with the accurate numerical approximation of the spectral properties of the ...
This paper is concerned with the accurate numerical approximation of the spectral properties of the ...
This paper is concerned with the accurate numerical approximation of the spectral properties of the ...
Discretisations of differential eigenvalue problems have a sensitivity to perturbations which is asy...
Discretisations of differential eigenvalue problems have a sensitivity to perturbations which is asy...
Discretisations of differential eigenvalue problems have a sensitivity to perturbations which is asy...
Efficient solution of the equations from spectral discretizations is essential if the high-order acc...
Discretisations of differential eigenvalue problems have a sensitivity to perturbations which is asy...
Very fine discretizations of differential operators often lead to large, sparse matrices A, where th...
Very fine discretizations of differential operators often lead to large, sparse matrices A, where th...
AbstractWe find an asymptotic expression for the first eigenvalue of the biharmonic operator on a lo...
We propose an efficient implementation of the Chebyshev Galerkin spectral method for the biharmonic...
An efficient preconditioner for the Chebyshev differencing operator is considered. The corresponding...
This paper is concerned with the accurate numerical approximation of the spectral properties of the ...
This paper is concerned with the accurate numerical approximation of the spectral properties of the ...
This paper is concerned with the accurate numerical approximation of the spectral properties of the ...
This paper is concerned with the accurate numerical approximation of the spectral properties of the ...
This paper is concerned with the accurate numerical approximation of the spectral properties of the ...
Discretisations of differential eigenvalue problems have a sensitivity to perturbations which is asy...
Discretisations of differential eigenvalue problems have a sensitivity to perturbations which is asy...
Discretisations of differential eigenvalue problems have a sensitivity to perturbations which is asy...
Efficient solution of the equations from spectral discretizations is essential if the high-order acc...
Discretisations of differential eigenvalue problems have a sensitivity to perturbations which is asy...
Very fine discretizations of differential operators often lead to large, sparse matrices A, where th...
Very fine discretizations of differential operators often lead to large, sparse matrices A, where th...
AbstractWe find an asymptotic expression for the first eigenvalue of the biharmonic operator on a lo...
We propose an efficient implementation of the Chebyshev Galerkin spectral method for the biharmonic...
An efficient preconditioner for the Chebyshev differencing operator is considered. The corresponding...