activity
20142026
most citedA mixed precision Jacobi SVD algorithm

2 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

math.NA2026

Structure-Preserving Dynamic Mode Decomposition for Highly Oscillatory Dynamics of Semiclassical Schrödinger Equations

Yizhe Feng, Weiguo Gao, Jia Yin

We propose two novel data-driven dynamic mode decomposition (DMD)-type methods, the Crank--Nicolson DMD and the semi-implicit DMD, to predict the highly oscillatory dynamics of the…

math.NA2026

A sixth-order compact time-splitting Fourier pseudospectral method for the Dirac equation

Weiguo Gao, Zhansi He, Jia Yin

In this paper, we propose a novel sixth-order compact time-splitting scheme, denoted as , for solving the Dirac equation in the absence of external magnetic potenti…

math.NA2024

A fast low-rank inversion algorithm of dielectric matrix in GW approximation

Zhengbang Zhou, Huanhuan Ma, Wentiao Wu +4

The dielectric response function and its inverse are crucial physical quantities in materials science. We propose an accurate and efficient strategy to invert the dielectric functi…

math.NA2022★ 2 cited

A mixed precision Jacobi SVD algorithm

Weiguo Gao, Yuxin Ma, Meiyue Shao

We propose a mixed precision Jacobi algorithm for computing the singular value decomposition (SVD) of a dense matrix. After appropriate preconditioning, the proposed algorithm comp…

physics.comp-ph2020★ 1 cited

Solving the k-sparse Eigenvalue Problem with Reinforcement Learning

Li Zhou, Lihao Yan, Mark A. Caprio +2

We examine the possibility of using a reinforcement learning (RL) algorithm to solve large-scale eigenvalue problems in which the desired the eigenvector can be approximated by a s…

math.NA2014★ 1 cited

An Iterative Minimization Formulation for Saddle-Point Search

Weiguo Gao, Jing Leng, Xiang Zhou

This paper proposes and analyzes an iterative minimization formulation for search- ing index-1 saddle points of an energy function. This formulation differs from other eigenvector-…