
doi: 10.1007/bf02243847
An optimal multilevel preconditioner for nonconforming P1 elements discretizations of second order elliptic boundary value problems is derived. The resulting condition numbers are uniformly bounded with respect to the number of levels \(j\) which is known for the conforming case, and improve the previous results for nonconforming P1 elements.
Iterative numerical methods for linear systems, second order elliptic boundary value problems, Multigrid methods; domain decomposition for boundary value problems involving PDEs, nonconforming P1 elements, Boundary value problems for second-order elliptic equations, optimal multilevel preconditioner, Numerical computation of matrix norms, conditioning, scaling, condition numbers, Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs
Iterative numerical methods for linear systems, second order elliptic boundary value problems, Multigrid methods; domain decomposition for boundary value problems involving PDEs, nonconforming P1 elements, Boundary value problems for second-order elliptic equations, optimal multilevel preconditioner, Numerical computation of matrix norms, conditioning, scaling, condition numbers, Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 61 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
