Andrew Christlieb
Michigan State University
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Featured researches published by Andrew Christlieb.
Journal of Computational Physics | 2010
Jing-Mei Qiu; Andrew Christlieb
In this paper, we propose a novel Vlasov solver based on a semi-Lagrangian method which combines Strang splitting in time with high order WENO (weighted essentially non-oscillatory) reconstruction in space. A key insight in this work is that the spatial interpolation matrices, used in the reconstruction process of a semi-Lagrangian approach to linear hyperbolic equations, can be factored into right and left flux matrices. It is the factoring of the interpolation matrices which makes it possible to apply the WENO methodology in the reconstruction used in the semi-Lagrangian update. The spatial WENO reconstruction developed for this method is conservative and updates point values of the solution. While the third, fifth, seventh and ninth order reconstructions are presented in this paper, the scheme can be extended to arbitrarily high order. WENO reconstruction is able to achieve high order accuracy in smooth parts of the solution while being able to capture sharp interfaces without introducing oscillations. Moreover, the CFL time step restriction of a regular finite difference or finite volume WENO scheme is removed in a semi-Lagrangian framework, allowing for a cheaper and more flexible numerical realization. The quality of the proposed method is demonstrated by applying the approach to basic test problems, such as linear advection and rigid body rotation, and to classical plasma problems, such as Landau damping and the two-stream instability. Even though the method is only second order accurate in time, our numerical results suggest the use of high order reconstruction is advantageous when considering the Vlasov-Poisson system.
SIAM Journal on Scientific Computing | 2010
Andrew Christlieb; Colin B. Macdonald; Benjamin W. Ong
In this work we discuss a class of defect correction methods which is easily adapted to create parallel time integrators for multicore architectures and is ideally suited for developing methods which can be order adaptive in time. The method is based on integral deferred correction (IDC), which was itself motivated by spectral deferred correction by Dutt, Greengard, and Rokhlin [BIT, 40 (2000), pp. 241-266]. The method presented here is a revised formulation of explicit IDC, dubbed revisionist IDC (RIDC), which can achieve
Journal of Computational Physics | 2011
Chaopeng Shen; Jing-Mei Qiu; Andrew Christlieb
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Mathematics of Computation | 2009
Andrew Christlieb; Benjamin W. Ong; Jing-Mei Qiu
th-order accuracy in “wall-clock time” comparable to a single forward Euler simulation on problems where the time to evaluate the right-hand side of a system of differential equations is greater than latency costs of interprocessor communication, such as in the case of the
Advances in Adaptive Data Analysis | 2013
David Lawlor; Yang Wang; Andrew Christlieb
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international conference on plasma science | 2006
Andrew Christlieb; Robert Krasny; John P. Verboncoeur; Jerold W. Emhoff; Iain D. Boyd
-body problem. The key idea is to rewrite the defect correction framework so that, after initial start-up costs, each correction loop can be lagged behind the previous correction loop in a manner that facilitates running the predictor and
Journal of Computational Physics | 2014
Andrew Christlieb; Jaylan Jones; Keith Promislow; Brian Wetton; Mark Willoughby
M=p-1
Journal of Computational Physics | 2014
Yingda Cheng; Andrew Christlieb; Xinghui Zhong
correctors in parallel on an interval which has
Journal of Computational Physics | 2008
Spencer E. Olson; Andrew Christlieb
K
international conference on plasma science | 2004
Andrew Christlieb; Robert Krasny; John P. Verboncoeur
steps, where