3 papers
math.OC2020
Anderson Acceleration for Nonconvex ADMM Based on Douglas-Rachford Splitting
Wenqing Ouyang, Yue Peng, Yuxin Yao +2
The alternating direction multiplier method (ADMM) is widely used in computer graphics for solving optimization problems that can be nonsmooth and nonconvex. It converges quickly t…
cs.GR2019
Accelerating ADMM for Efficient Simulation and Optimization
Juyong Zhang, Yue Peng, Wenqing Ouyang +1
The alternating direction method of multipliers (ADMM) is a popular approach for solving optimization problems that are potentially non-smooth and with hard constraints. It has bee…
cs.GR2018
Parallel and Scalable Heat Methods for Geodesic Distance Computation
Jiong Tao, Juyong Zhang, Bailin Deng +3
In this paper, we propose a parallel and scalable approach for geodesic distance computation on triangle meshes. Our key observation is that the recovery of geodesic distance with…