
doi: 10.1002/num.20606
handle: 10533/127140
AbstractThe discrete mollification method is a convolution‐based filtering procedure suitable for the regularization of ill‐posed problems and for the stabilization of explicit schemes for the solution of PDEs. This method is applied to the discretization of the diffusive terms of a known first‐order monotone finite difference scheme [Evje and Karlsen, SIAM J Numer Anal 37 (2000) 1838–1860] for initial value problems of strongly degenerate parabolic equations in one space dimension. It is proved that the mollified scheme is monotone and converges to the unique entropy solution of the initial value problem, under a CFL stability condition which permits to use time steps that are larger than with the unmollified (basic) scheme. Several numerical experiments illustrate the performance and gains in CPU time for the mollified scheme. Applications to initial‐boundary value problems are included. © 2010 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq 28: 38–62, 2012
CFL condition, convergence, discrete mollification method, degenerate parabolic equation, Finite difference methods for initial value and initial-boundary value problems involving PDEs, entropy solution, Stability and convergence of numerical methods for initial value and initial-boundary value problems involving PDEs, monotone difference scheme
CFL condition, convergence, discrete mollification method, degenerate parabolic equation, Finite difference methods for initial value and initial-boundary value problems involving PDEs, entropy solution, Stability and convergence of numerical methods for initial value and initial-boundary value problems involving PDEs, monotone difference scheme
| selected citations These citations are derived from selected sources. 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). | 6 | |
| 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. | Average | |
| 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. | Average |
