Acceleration of convergence of vector sequences
SIAM Journal on Numerical Analysis
Extrapolation vs. projection methods for linear systems of equations
Journal of Computational and Applied Mathematics
Mixed and hybrid finite element methods
Mixed and hybrid finite element methods
Efficient implementation of minimal polynomial and reduced rank extrapolation methods
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
Vector extrapolation methods. applications and numerical comparison
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 vol. II: interpolation and extrapolation
Jacobian-free Newton-Krylov methods: a survey of approaches and applications
Journal of Computational Physics
Journal of Computational Physics
Monotone finite volume schemes for diffusion equations on polygonal meshes
Journal of Computational Physics
Interpolation-free monotone finite volume method for diffusion equations on polygonal meshes
Journal of Computational Physics
Generic compressed sparse matrix insertion: algorithms and implementations in MTL4 and FEniCS
Proceedings of the 8th workshop on Parallel/High-Performance Object-Oriented Scientific Computing
A monotone finite volume method for advection-diffusion equations on unstructured polygonal meshes
Journal of Computational Physics
Discontinuous Galerkin Methods: Theory, Computation and Applications
Discontinuous Galerkin Methods: Theory, Computation and Applications
Hi-index | 31.45 |
A non-linear finite volume method with monotone matrix for the diffusion equation is presented. It does not extrapolate the primary variable to Neumann boundaries, as this was previously done in similar methods. This change results in faster convergence. Computation time is significantly shortened further using the reduced rank extrapolation method (RRE), and imposing an upper limit on the number of linear iterations per non-linear step. Second-order accuracy and performance improvement are demonstrated by numerical examples.