In this paper we consider a class of “filtered” schemes for some first order time dependent Hamilton-Jacobi equations. A typical feature of a filtered scheme is that at the node xj the scheme is obtained as a mixture of a high-order scheme and a monotone scheme according to a filter function F. The mixture is usually governed by F and by a fixed parameter ε = ε(Δt,Δx) > 0 which goes to 0 as (Δt, Δx) is going to 0 and does not depend on n. Here we improve the standard filtered scheme introducing an adaptive and automatic choice of the parameter ε = ε^n(Δt, Δx) at every iteration. To this end, we use a smoothness indicator in order to select the regions where we can compute the regularity threshold ε^n. The numerical tests presented confirms the effectiveness of the adaptive scheme.
Adaptive filtered schemes for first order Hamilton-Jacobi equations / Falcone, Maurizio; Paolucci, Giulio; Tozza, Silvia. - STAMPA. - 126:(2019), pp. 389-398. (Intervento presentato al convegno European Conference on Numerical Mathematics and Advanced Applications, ENUMATH 2017 tenutosi a Voss; Norway) [10.1007/978-3-319-96415-7_34].
Adaptive filtered schemes for first order Hamilton-Jacobi equations
Maurizio Falcone;PAOLUCCI, GIULIO;Silvia Tozza
2019
Abstract
In this paper we consider a class of “filtered” schemes for some first order time dependent Hamilton-Jacobi equations. A typical feature of a filtered scheme is that at the node xj the scheme is obtained as a mixture of a high-order scheme and a monotone scheme according to a filter function F. The mixture is usually governed by F and by a fixed parameter ε = ε(Δt,Δx) > 0 which goes to 0 as (Δt, Δx) is going to 0 and does not depend on n. Here we improve the standard filtered scheme introducing an adaptive and automatic choice of the parameter ε = ε^n(Δt, Δx) at every iteration. To this end, we use a smoothness indicator in order to select the regions where we can compute the regularity threshold ε^n. The numerical tests presented confirms the effectiveness of the adaptive scheme.File | Dimensione | Formato | |
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