The scientist and engineer's guide to digital signal processing
The scientist and engineer's guide to digital signal processing
A Fast Algorithm for Deblurring Models with Neumann Boundary Conditions
SIAM Journal on Scientific Computing
Explicit Time-Stepping for Stiff ODEs
SIAM Journal on Scientific Computing
High order finite difference numerical methods for time-dependent convection-dominated problems
Applied Numerical Mathematics - Applied scientific computing: Recent approaches to grid generation, approximation and numerical modelling
Approximate solution of hyperbolic conservation laws by discrete mollification
Applied Numerical Mathematics
A mollification based operator splitting method for convection diffusion equations
Computers & Mathematics with Applications
Numerical identification of a nonlinear diffusion coefficient by discrete mollification
Computers & Mathematics with Applications
Computers & Mathematics with Applications
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The main goal of this paper is to show that discrete mollification is a simple and effective way to speed up explicit time-stepping schemes for partial differential equations. The second objective is to enhance the mollification method with a variety of alternatives for the treatment of boundary conditions. The numerical experiments indicate that stabilization by mollification is a technique that works well for a variety of explicit schemes applied to linear and nonlinear differential equations.