3 citations · 5 across the 4 of their papers we have counts for
4 papers
Boundary integrated neural networks (BINNs) for acoustic radiation and scattering
Wenzhen Qu, Yan Gu, Shengdong Zhao +1
This paper presents a novel approach called the boundary integrated neural networks (BINNs) for analyzing acoustic radiation and scattering. The method introduces fundamental solut…
Alternating Direction Method of Multipliers with Variable Metric Indefinite Proximal Terms for Convex Optimization
Yan Gu, Nobuo Yamashita
This paper studies a proximal alternating direction method of multipliers (ADMM) with variable metric indefinite proximal terms for linearly constrained convex optimization problem…
An Alternating Direction Method of Multipliers with the BFGS Update for Structured Convex Quadratic Optimization
Yan Gu, Nobuo Yamashita
The alternating direction method of multipliers (ADMM) is an effective method for solving wide fields of convex problems. At each iteration, the classical ADMM solves two subproble…
An indefinite-proximal-based strictly contractive Peaceman-Rachford splitting method
Yan Gu, Bo Jiang, Deren Han
The Peaceman-Rachford splitting method is efficient for minimizing a convex optimization problem with a separable objective function and linear constraints. However, its convergenc…