Multigrid solution techniques for anisotropic structured linear systems
Applied Numerical Mathematics
Comparison of bounds for V-cycle multigrid
Applied Numerical Mathematics
A note on algebraic multigrid methods for the discrete weighted Laplacian
Computers & Mathematics with Applications
Spectral Features and Asymptotic Properties for $g$-Circulants and $g$-Toeplitz Sequences
SIAM Journal on Matrix Analysis and Applications
Multilevel Approach For Signal Restoration Problems With Toeplitz Matrices
SIAM Journal on Scientific Computing
A note on the (regularizing) preconditioning of g-Toeplitz sequences via g-circulants
Journal of Computational and Applied Mathematics
| Hi-index | 0.00 |
In this paper we are interested in the solution by multigrid strategies of multilevel linear systems whose coefficient matrices belong to the circulant, Hartley, or $\tau$ algebras or to the Toeplitz class and are generated by (the Fourier expansion of) a nonnegative multivariate polynomial f. It is well known that these matrices are banded and have eigenvalues equally distributed as f, so they are ill-conditioned whenever f takes the zero value; they can even be singular and need a low-rank correction. We prove the V-cycle multigrid iteration to have a convergence rate independent of the dimension even in presence of ill-conditioning. If the (multilevel) coefficient matrix has partial dimension nr at level r, r=1,...,d, then the size of the algebraic system is $N(n)=\prod_{r=1}^d n_r$, O(N(n)) operations are required by our technique, and therefore the corresponding method is optimal. Some numerical experiments concerning linear systems arising in applications, such as elliptic PDEs with mixed boundary conditions and image restoration problems, are considered and discussed.