activity
20232026
most citedSylvester-Preconditioned Adaptive-Rank Implicit Time Integrators for Advection-Diffusion Equations with Variable Coefficients

2 citations · 4 across the 10 of their papers we have counts for

collaborators

10 papers

math.NA2026

Nonnegative Low-Rank Matrix Correction under an Orthogonality Constraint in Conservative Vlasov Simulations

Yue Wu, Stephen Becker, Jingmei Qiu +1

In low-rank numerical methods for Vlasov dynamics, the SVD-type truncation procedure may introduce negative entries into the numerical solution. Such negative values are unphysical…

math.NA2026

A Structure-preserving Adaptive-Rank Approach to the High-Dimensional Wigner-Poisson System

Andrew J. Christlieb, Sining Gong, Jing-Mei Qiu +1

The Wigner-Poisson system is a deterministic phase-space model for quantum kinetic electron dynamics, but high-dimensional simulations are limited by the full 3D3V phase space and…

math.NA2026

A Structure-Preserving Penalization Method for the Single-species Rosenbluth-Fokker-Planck Equation

Hamad El Kahza, Luis Chacón, William Taitano +2

The Rosenbluth-Fokker-Planck (RFP) equation describes Coulomb collisional dynamics within and across species in plasmas. It belongs to the broader class of anisotropic-diffusion-ad…

math.NA2025

A Nodal Discontinuous Galerkin Method with Rank-Adaptive Velocity Space Representation for the Multiscale BGK Model

Andres Galindo-Olarte, Joseph Nakao, Mirjeta Pasha +2

A novel hybrid algorithm is presented for the Boltzmann-BGK equation, in which a rank-adaptive decomposition is applied solely in the velocity subspace, while a full-rank represent…

math.NA2024★ 1 cited

A review of low-rank methods for time-dependent kinetic simulations

Lukas Einkemmer, Katharina Kormann, Jonas Kusch +2

Time-dependent kinetic models are ubiquitous in computational science and engineering. The underlying integro-differential equations in these models are high-dimensional, comprised…

math.NA2024★ 2 cited

Sylvester-Preconditioned Adaptive-Rank Implicit Time Integrators for Advection-Diffusion Equations with Variable Coefficients

Hamad El Kahza, Jing-Mei Qiu, Luis Chacon +1

We consider the adaptive-rank integration of {2D and 3D} time-dependent advection-diffusion partial differential equations (PDEs) with variable coefficients. We employ a standard f…

math.NA2024

High-order Adaptive Rank Integrators for Multi-scale Linear Kinetic Transport Equations in the Hierarchical Tucker Format

William A. Sands, Wei Guo, Jing-Mei Qiu +1

In this paper, we present a new adaptive rank approximation technique for computing solutions to the high-dimensional linear kinetic transport equation. The approach we propose is…

math.NA2024

A high-order Eulerian-Lagrangian Runge-Kutta finite volume (EL-RK-FV) method for scalar nonlinear conservation laws

Jiajie Chen, Joseph Nakao, Jing-Mei Qiu +1

We present a class of high-order Eulerian-Lagrangian Runge-Kutta finite volume methods that can numerically solve Burgers' equation with shock formations, which could be extended t…

math.NA2024

Krylov-based Adaptive-Rank Implicit Time Integrators for Stiff Problems with Application to Nonlinear Fokker-Planck Kinetic Models

Hamad El Kahza, William Taitano, Jing-Mei Qiu +1

We propose a high order adaptive-rank implicit integrators for stiff time-dependent PDEs, leveraging extended Krylov subspaces to efficiently and adaptively populate low-rank solut…

math.NA2023★ 1 cited

Reduced Augmentation Implicit Low-rank (RAIL) integrators for advection-diffusion and Fokker-Planck models

Joseph Nakao, Jing-Mei Qiu, Lukas Einkemmer

This paper introduces a novel computational approach termed the Reduced Augmentation Implicit Low-rank (RAIL) method by investigating two predominant research directions in low-ran…