2 papers
cs.LG2023
Experimental observation on a low-rank tensor model for eigenvalue problems
Jun Hu, Pengzhan Jin
Here we utilize a low-rank tensor model (LTM) as a function approximator, combined with the gradient descent method, to solve eigenvalue problems including the Laplacian operator a…
math.OC2022
An efficient semismooth Newton-AMG-based inexact primal-dual algorithm for generalized transport problems
Jun Hu, Hao Luo, Zihang Zhang
This work is concerned with the efficient optimization method for solving a large class of optimal mass transport problems. An inexact primal-dual algorithm is presented from the t…