activity
20202026
most citedAn asymptotic-preserving dynamical low-rank method for the multi-scale multi-dimensional linear transport equation

62 citations · 64 across the 5 of their papers we have counts for

collaborators

5 papers

math.AP2026

Long Time Well-posedness for the Benjamin-Ono Equation with Quasi-Periodic Initial Data

Yubo Wang

This paper investigates the long time well-posedness of the Benjamin-Ono (BO) equation with quasi-periodic initial data in analytic space. We demonstrate that the Lax operator of t…

math.AP2026

Global Well-Posedness for the Benjamin-Ono Equation with Small Periodic Initial Data in Analytic Spaces

Yubo Wang

We establish global well-posedness of the Benjamin--Ono equation for sufficiently small, zero-mean periodic initial data in the analytic Sobolev space . The proof combin…

math.NA2021

An adaptive dynamical low rank method for the nonlinear Boltzmann equation

Jingwei Hu, Yubo Wang

Efficient and accurate numerical approximation of the full Boltzmann equation has been a longstanding challenging problem in kinetic theory. This is mainly due to the high dimensio…

math.NA2020★ 62 cited

An asymptotic-preserving dynamical low-rank method for the multi-scale multi-dimensional linear transport equation

Lukas Einkemmer, Jingwei Hu, Yubo Wang

We introduce a dynamical low-rank method to reduce the computational complexity for solving the multi-scale multi-dimensional linear transport equation. The method is based on a ma…

math.NA2020★ 2 cited

Uncertainty quantification for the BGK model of the Boltzmann equation using multilevel variance reduced Monte Carlo methods

Jingwei Hu, Lorenzo Pareschi, Yubo Wang

We propose a control variate multilevel Monte Carlo method for the kinetic BGK model of the Boltzmann equation subject to random inputs. The method combines a multilevel Monte Carl…