activity
20232026
most citedReduced Augmentation Implicit Low-rank (RAIL) integrators for advection-diffusion and Fokker-Planck models

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

math.NA2026

An adaptive and conservative low-rank IMEX solver for the hybrid ion Vlasov-Fokker-Planck and fluid electron system

Joseph Nakao, Dylan T. Jacobs, William Taitano

We present a macroscopically conservative, rank-adaptive method for solving a hybrid Vlasov-Fokker-Planck (VFP) equation in which the ions are treated kinetically, and the electron…

math.NA2026

Efficient Sketching-Based Summation of Tucker Tensors

Rudi Smith, Mirjeta Pasha, Andrés Galindo-Olarte +5

We present efficient, sketching-based methods for the summation of tensors in Tucker format. Leveraging the algebraic structure of Khatri-Rao and Kronecker products, our approach e…

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.NA2025

A low-rank, high-order implicit-explicit integrator for three-dimensional convection-diffusion equations

Joseph Nakao, Gianluca Ceruti, Lukas Einkemmer

This paper presents a rank-adaptive implicit-explicit integrator for the tensor approximation of three-dimensional convection-diffusion equations. In particular, the recently devel…

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.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…