English
Related papers

Related papers: Asymptotic--preserving and energy stable dynamical…

200 papers

This paper addresses the stabilization of dynamical systems in the infinite horizon optimal control setting using nonlinear feedback control based on State-Dependent Riccati Equations (SDREs). While effective, the practical implementation…

Numerical Analysis · Mathematics 2025-09-12 Luca Saluzzi , Maria Strazzullo

In this paper, we develop a stochastic Asymptotic-Preserving (sAP) scheme for the kinetic chemotaxis system with random inputs, which will converge to the modified Keller-Segel model with random inputs in the diffusive regime. Based on the…

Numerical Analysis · Mathematics 2017-10-17 Shi Jin , Hanqing Lu , Lorenzo Pareschi

Low-rank approximation is a technique to approximate a tensor or a matrix with a reduced rank to reduce the memory required and computational cost for simulation. Its broad applications include dimension reduction, signal processing,…

Computational Physics · Physics 2019-06-25 Zhuogang Peng , Ryan G. McClarren , Martin Frank

We develop an asymptotic preserving scheme for the gray radiative transfer equation. Two asymptotic regimes are considered: one is a diffusive regime described by a nonlinear diffusion equation for the material temperature; the other is a…

Numerical Analysis · Mathematics 2019-09-17 Min Tang , Li Wang , Xiaojiang Zhang

In algorithms for solving optimization problems constrained to a smooth manifold, retractions are a well-established tool to ensure that the iterates stay on the manifold. More recently, it has been demonstrated that retractions are a…

Numerical Analysis · Mathematics 2024-03-11 Axel Séguin , Gianluca Ceruti , Daniel Kressner

We extend the positivity-preserving method of Zhang & Shu (2010, JCP, 229, 3091-3120) to simulate the advection of neutral particles in phase space using curvilinear coordinates. The ability to utilize these coordinates is important for…

Computational Physics · Physics 2015-06-23 Eirik Endeve , Cory D. Hauck , Yulong Xing , Anthony Mezzacappa

In continual learning (CL), catastrophic forgetting often arises due to feature drift. This challenge is particularly prominent in the exemplar-free continual learning (EFCL) setting, where samples from previous tasks cannot be retained,…

Machine Learning · Computer Science 2025-04-01 Xuan Liu , Xiaobin Chang

In this paper, we analyze the preservation of asymptotic properties of partially dissipative hyperbolic systems when switching to a discrete setting. We prove that one of the simplest consistent and unconditionally stable numerical methods…

Analysis of PDEs · Mathematics 2024-04-17 Timothée Crin-Barat , Dragoş Manea

Discontinuous Galerkin (DG) methods are widely adopted to discretize the radiation transport equation (RTE) with diffusive scalings. One of the most important advantages of the DG methods for RTE is their asymptotic preserving (AP)…

Numerical Analysis · Mathematics 2024-04-17 Cory D. Hauck , Qiwei Sheng , Yulong Xing

This work introduces reduced models based on Continuous Low Rank Adaptation (CoLoRA) that pre-train neural networks for a given partial differential equation and then continuously adapt low-rank weights in time to rapidly predict the…

Machine Learning · Computer Science 2024-07-23 Jules Berman , Benjamin Peherstorfer

Dynamical low-rank approximation, as has been demonstrated recently, can be extremely efficient in solving kinetic equations. However, a major deficiency is that they do not preserve the structure of the underlying physical problem. For…

Numerical Analysis · Mathematics 2023-04-26 Lukas Einkemmer , Alexander Ostermann , Carmen Scalone

In this paper, we develop a numerical method for the L\'evy-Fokker-Planck equation with the fractional diffusive scaling. There are two main challenges. One comes from a two-fold nonlocality, that is, the need to apply the fractional…

Numerical Analysis · Mathematics 2021-03-23 Wuzhe Xu , Li Wang

A rank-adaptive integrator for the dynamical low-rank approximation of matrix and tensor differential equations is presented. The fixed-rank integrator recently proposed by two of the authors is extended to allow for an adaptive choice of…

Numerical Analysis · Mathematics 2021-04-13 Gianluca Ceruti , Jonas Kusch , Christian Lubich

This paper is concerned with structure-preserving numerical approximations for a class of nonlinear nonlocal Fokker-Planck equations, which admit a gradient flow structure and find application in diverse contexts. The solutions,…

Numerical Analysis · Mathematics 2024-03-26 José A. Carrillo , Hailiang Liu , Hui Yu

We study the numerical approximation of singularly perturbed convection-diffusion problems on one-dimensional pipe networks. In the vanishing diffusion limit, the number and type of boundary conditions and coupling conditions at network…

Numerical Analysis · Mathematics 2022-09-12 Herbert Egger , Nora Philippi

We develop novel asymptotic-preserving (AP) deterministic particle methods for collisional plasma models, including both Landau--Fokker--Planck and Dougherty collision operators, under hydrodynamic scaling. Our schemes treat the non-stiff…

Numerical Analysis · Mathematics 2026-04-13 Yan Huang , Li Wang

We propose an inexact low-rank source iteration with diffusion synthetic acceleration (SI-DSA) for solving the multidimensional steady-state radiative transfer equation (RTE) in the second-order formulation. The angular flux is represented…

Numerical Analysis · Mathematics 2025-09-03 Wei Guo , Zhichao Peng

In this paper, we will develop a class of high order asymptotic preserving (AP) discontinuous Galerkin (DG) methods for nonlinear time-dependent gray radiative transfer equations (GRTEs). Inspired by the work \cite{Peng2020stability}, in…

Numerical Analysis · Mathematics 2020-12-01 Tao Xiong , Wenjun Sun , Yi Shi , Peng Song

We extend the asymptotic preserving and energy conserving time integrator for charged-particle motion developed in [Ricketson & Chac\'on, JCP, 2020] to include finite Larmor-radius (FLR) effects in the presence of electric-field…

Computational Physics · Physics 2023-12-04 Lee Ricketson , Luis Chacón

We solve the convection-diffusion equation using a coupling of cell-centered finite volume (FV) and discontinuous Galerkin (DG) methods. The domain is divided into disjoint regions assigned to FV or DG, and the two methods are coupled…

Numerical Analysis · Mathematics 2025-09-30 Maurice S. Fabien