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Dynamic Low Rank (DLR) methods are a promising way to reduce the computational cost and memory footprint of the high-dimensional thermal radiative transfer (TRT) equations. The TRT equations are a system of nonlinear PDEs that model the…

Numerical Analysis · Mathematics 2026-01-27 Terry Haut , John Loffeld , Lukas Einkemmer , Pierson Guthrey , Stefan Brunner , William Schill

In plasma simulations, where the speed of light divided by a characteristic length is at a much higher frequency than other relevant parameters in the underlying system, such as the plasma frequency, implicit methods begin to play an…

Numerical Analysis · Mathematics 2016-06-30 Yingda Cheng , Andrew J. Christlieb , Wei Guo , Benjamin Ong

When simulating hyperbolic conservation laws with discontinuous solutions, high-order linear numerical schemes often produce undesirable spurious oscillations. In this paper, we propose a jump filter within the discontinuous Galerkin (DG)…

Numerical Analysis · Mathematics 2026-01-30 Lei Wei , Lingling Zhou , Yinhua Xia

In this paper, we develop high-order nodal discontinuous Galerkin (DG) methods for hyperbolic conservation laws that satisfy invariant domain preserving properties using a subcell flux corrections and convex limiting. These methods are…

Numerical Analysis · Mathematics 2021-05-12 Will Pazner

In this paper, a new stabilized discontinuous Galerkin method within a new function space setting is introduced, which involves an extra stabilization term on the normal fluxes across the element interfaces. It is different from the general…

Numerical Analysis · Mathematics 2014-11-25 Zhihao Ge , Jiwei Cao

Dynamical low-rank approximation (DLRA) is a widely used paradigm for solving large-scale matrix differential equations, as they arise, for example, from the discretization of time-dependent partial differential equations on tensorized…

Numerical Analysis · Mathematics 2025-10-23 Benjamin Carrel , Daniel Kressner , Hei Yin Lam , Bart Vandereycken

A class of high order asymptotic preserving (AP) schemes has been developed for the BGK equation in Xiong et. al. (2015) [37], which is based on the micro-macro formulation of the equation. The nodal discontinuous Galerkin (NDG) method with…

Numerical Analysis · Mathematics 2016-02-09 Tao Xiong , Jingmei Qiu

We investigate numerical behaviour of a convection diffusion equation with random coefficients by approximating statistical moments of the solution. Stochastic Galerkin approach, turning the original stochastic problem to a system of…

Numerical Analysis · Mathematics 2021-10-19 Pelin Çiloğlu , Hamdullah Yücel

Analysis of an interface stabilised finite element method for the scalar advection-diffusion-reaction equation is presented. The method inherits attractive properties of both continuous and discontinuous Galerkin methods, namely the same…

Numerical Analysis · Mathematics 2011-04-01 Garth N. Wells

In this paper, we develop a general framework for the design of the arbitrary high-order well-balanced discontinuous Galerkin (DG) method for hyperbolic balance laws, including the compressible Euler equations with gravitation and the…

Numerical Analysis · Mathematics 2024-02-05 Jiahui Zhang , Yinhua Xia , Yan Xu

In this article, we are interested in the asymptotic analysis of a finite volume scheme for one dimensional linear kinetic equations, with either Fokker-Planck or linearized BGK collision operator. Thanks to appropriate uniform estimates,…

Numerical Analysis · Mathematics 2019-11-12 Marianne Bessemoulin-Chatard , Maxime Herda , Thomas Rey

This paper introduces a full solution for decentralized routing in Low Earth Orbit satellite constellations based on continual Deep Reinforcement Learning (DRL). This requires addressing multiple challenges, including the partial knowledge…

Machine Learning · Computer Science 2024-05-22 Federico Lozano-Cuadra , Beatriz Soret , Israel Leyva-Mayorga , Petar Popovski

We propose a state redistribution method for high order discontinuous Galerkin methods on curvilinear embedded boundary grids. State redistribution relaxes the overly restrictive CFL condition that results from arbitrarily small cut cells…

Numerical Analysis · Mathematics 2021-12-07 Andrew Giuliani

We present a novel asymptotic-preserving semi-implicit finite element method for weakly compressible and incompressible flows based on compatible finite element spaces. The momentum is sought in an $H(\mathrm{div})$-conforming space,…

Numerical Analysis · Mathematics 2024-07-16 Enrico Zampa , Michael Dumbser

In this paper, we propose a domain decomposition dynamical low-rank method to solve high-dimensional radiative transfer problems and similar kinetic equations. The algorithm uses a separate low-rank approximation on each spatial subdomain,…

Numerical Analysis · Mathematics 2026-02-17 Stefan Brunner , Lukas Einkemmer , Terry Haut

We present a dynamic subspace approach for efficiently approximating large-scale systems by learning time-continuous trajectories on the Grassmannian manifold. By parameterizing a low-dimensional basis as a geodesic path, the method allows…

Numerical Analysis · Mathematics 2026-05-26 Jack DeChant , Rudy Geelen , Shane A. McQuarrie , Johann Guilleminot

In this paper, we develop an asymptotic-preserving and positivity-preserving discontinuous Galerkin (DG) method for solving the semiconductor Boltzmann equation in the diffusive scaling. We first formulate the diffusive relaxation system…

Numerical Analysis · Mathematics 2025-03-26 Huan Ding , Liu Liu , Xinghui Zhong

We present a stable discontinuous Galerkin (DG) method with a perfectly matched layer (PML) for three and two space dimensional linear elastodynamics, in velocity-stress formulation, subject to well-posed linear boundary conditions. First,…

Numerical Analysis · Mathematics 2020-01-08 Kenneth Duru , Leonhard Rannabauer , Alice-Agnes Gabriel , Gunilla Kreiss , Michael Bader

In this paper, by introducing a reconstruction operator based on the Legendre moments, we construct a reduced discontinuous Galerkin (RDG) space that could achieve the same approximation accuracy but using fewer degrees of freedom (DoFs)…

Numerical Analysis · Mathematics 2023-06-13 Shijin Hou , Yinhua Xia

Numerical methods that approximate the solution of the Vlasov-Poisson equation by a low-rank representation have been considered recently. These methods can be extremely effective from a computational point of view, but contrary to most…

Numerical Analysis · Mathematics 2018-07-09 Lukas Einkemmer , Christian Lubich
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