2 citations · 3 across the 3 of their papers we have counts for
3 papers
math.OC2023★ 1 cited
Stochastic Gradient Descent in the Viewpoint of Graduated Optimization
Da Li, Jingjing Wu, Qingrun Zhang
Stochastic gradient descent (SGD) method is popular for solving non-convex optimization problems in machine learning. This work investigates SGD from a viewpoint of graduated optim…
math.NA2020★ 2 cited
Application of an unbalanced optimal transport distance and a mixed L1/Wasserstein distance to full waveform inversion
Da Li, Michael P. Lamoureux, Wenyuan Liao
Full waveform inversion (FWI) is an important and popular technique in subsurface earth property estimation. However, using the least-squares norm in the misfit function often lead…
math.NA2020
Efficient and Stable Finite Difference Modelling of Acoustic Wave Propagation in Variable-density Media
Da Li, Keran Li, Wenyuan Liao
In this paper, we consider the development and analysis of a new explicit compact high-order finite difference scheme for acoustic wave equation formulated in divergence form, whic…