2014
DOI: 10.1016/j.jcp.2013.09.010
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Causal-Path Local Time-Stepping in the discontinuous Galerkin method for Maxwellʼs equations

Abstract: We introduce a novel local time-stepping technique for marching-in-time algorithms. The technique is denoted as Causal-Path Local Time-Stepping (CPLTS) and it is applied for two time integration techniques: fourth order low-storage explicit Runge-Kutta (LSERK4) and second order Leapfrog (LF2). The CPLTS method is applied to evolve Maxwell's curl equations using a Discontinuous Galerkin (DG) scheme for the spatial discretization.Numerical results for LF2 and LSERK4 are compared with analytical solutions and the… Show more

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Cited by 19 publications
(37 citation statements)
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“…Next, we approximate in (3.5) the values of y n+ ξ t = t n , by their Taylor expansions up to O(Δt 4 ). We also interpolate the points (t n , F n ), (t n+ 1 2 , F n+ 1 2 ), and (t n+1 , F n+1 ) by the quadratic polynomial,…”
Section: The Rk4-based Lts Methodmentioning
confidence: 99%
“…Next, we approximate in (3.5) the values of y n+ ξ t = t n , by their Taylor expansions up to O(Δt 4 ). We also interpolate the points (t n , F n ), (t n+ 1 2 , F n+ 1 2 ), and (t n+1 , F n+1 ) by the quadratic polynomial,…”
Section: The Rk4-based Lts Methodmentioning
confidence: 99%
“…During the last decade, the discontinuous Galerkin (DG) finite element method, first proposed by Reed and Hill [1], has become very popular for the solution of various problems from the field of fluid mechanics [2][3][4], electrodynamics or electromagnetism [5][6][7] and plasma physics [8]. The reasons behind the popularity can be attributed to the method's ability to achieve high order of spatial accuracy combined with low artificial damping, robustness and overall stability, thus, making it an ideal method for the simulation of laminar and turbulent flows with complex vortical structures.…”
Section: Introductionmentioning
confidence: 99%
“…In this case, the smallest element can significantly reduce the size of the global time step and, thus, hamper the overall computational efficiency. To overcome the disadvantage, a local time-stepping (LTS) technique can be used, see, e.g., [7]. As the name suggests, the LTS method utilises the principle of local time steps that are computed for each element independently.…”
Section: Introductionmentioning
confidence: 99%
“…leap-frog (LF2) [11]- [14] or the fourth-order low-storage explicit Runge-Kutta (LSERK4) [9], [15]- [18]. The maximum time step allowed for stability by these schemes is constrained by the spectral radius of the spatial operator, which in turns depend on the inverse square of the polynomial order and on the minimum edge length used for the spatial discretization.…”
mentioning
confidence: 99%
“…The use of -refinement in DGTD, also becomes problematic in multiscale problems, since (local) smaller elements enforce reduced (global) time-steps to ensure stability. Strategies to mitigate this exist, like local time-stepping techniques [12], [14], [15], and implicit-explicit (IMEX) time-integration schemes [22], [23]. Reduction on the spectral radius has been achieved using co-volume filtering [24] and mapping techniques [25], though these are effective only for higher orders.…”
mentioning
confidence: 99%