Kim-Ngan Le
University of New South Wales
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Kim-Ngan Le.
SIAM Journal on Numerical Analysis | 2016
Kim-Ngan Le; William McLean; Kassem Mustapha
We study two schemes for a time-fractional Fokker-Planck equation with space- and time-dependent forcing in one space dimension. The first scheme is continuous in time and is discretized in space using a piecewise-linear Galerkin finite element method. The second is continuous in space and employs a time-stepping procedure similar to the classical implicit Euler method. We show that the space discretization is second-order accurate in the spatial
Applicable Analysis | 2015
Kim-Ngan Le; Marcus Page; Dirk Praetorius; Thanh Tran
L_2
Numerische Mathematik | 2018
Hanz Martin Cheng; Jérôme Droniou; Kim-Ngan Le
-norm, uniformly in time, whereas the corresponding error for the time-stepping scheme is
arXiv: Numerical Analysis | 2016
Kim-Ngan Le; William McLean; Bishnu P. Lamichhane
O(k^\alpha)
Computers & Mathematics With Applications | 2013
Kim-Ngan Le; Thanh Tran
for a uniform time step
Journal of Differential Equations | 2016
Beniamin Goldys; Kim-Ngan Le; Thanh Tran
k
Anziam Journal | 2017
Kim-Ngan Le; William McLean; Bishnu P. Lamichhane
, where
Journal of Differential Equations | 2016
Kim-Ngan Le
\alpha\in(1/2,1)
Anziam Journal | 2013
Kim-Ngan Le; Thanh Tran
is the fractional diffusion parameter. In numerical experiments using a combined, fully-discrete method, we observe convergence behaviour consistent with these results.
arXiv: Numerical Analysis | 2018
Hanz Martin Cheng; Jérôme Droniou; Kim-Ngan Le
We propose a numerical integrator for the coupled system of the eddy-current equation with the nonlinear Landau–Lifshitz–Gilbert equation. The considered effective field contains a general field contribution, and we particularly cover exchange, anisotropy, applied field and magnetic field (stemming from the eddy-current equation). Even though the considered problem is nonlinear, our scheme requires only the solution of two linear systems per time-step. Moreover, our algorithm decouples both equations so that in each time-step, one linear system is solved for the magnetization, and afterwards one linear system is solved for the magnetic field. Unconditional convergence – at least of a subsequence – towards a weak solution is proved, and our analysis even provides existence of such weak solutions. Numerical experiments with micromagnetic benchmark problems underline the performance and the stability of the proposed algorithm.