
doi: 10.1137/090770862
handle: 11573/431836
In this paper, we consider a generalized fast marching method (GFMM) as a numerical method to compute dislocation dynamics. The dynamics of a dislocation hypersurface in $\mathbb{R}^N$ (with $N=2$ for physical applications) is given by its normal velocity which is a nonlocal function of the whole shape of the hypersurface itself. For this dynamics, we show a convergence result of the GFMM as the mesh size goes to zero. We also provide some numerical simulations in dimension $N=2$.
convergence, viscosity solutions, nonlocal equations; fast marching scheme; hamilton-jacobi equations; dislocation dynamics; viscosity solutions; convergence, 500, dislocation dynamics, [MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA], Analyse, 510, 515, non-local equations., nonlocal equations, non-local equations, [MATH.MATH-AP] Mathematics [math]/Analysis of PDEs [math.AP], Hamilton-Jacobi equations, fast marching scheme
convergence, viscosity solutions, nonlocal equations; fast marching scheme; hamilton-jacobi equations; dislocation dynamics; viscosity solutions; convergence, 500, dislocation dynamics, [MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA], Analyse, 510, 515, non-local equations., nonlocal equations, non-local equations, [MATH.MATH-AP] Mathematics [math]/Analysis of PDEs [math.AP], Hamilton-Jacobi equations, fast marching 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). | 10 | |
| 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. | Average |
