From: Strong convergence and bounded perturbation resilience of a modified proximal gradient algorithm
(c,ρ) | \(x_{0}=(0,0,\ldots,0)^{T}\) | \(x_{0}=(1,1,\ldots,1)^{T}\) | ||||
---|---|---|---|---|---|---|
Iter. | Time | \(\Vert Ax_{n}-b \Vert\) | Iter. | Time | \(\Vert Ax_{n}-b \Vert\) | |
(0.1,0.5) | 152 | 0.140 | 0.066 | 199 | 0.140 | 0.074 |
(0.8,0.5) | 440 | 0.608 | 0.220 | 260 | 0.172 | 0.070 |
(0.9,0.2) | 680 | 0.546 | 0.307 | 773 | 0.484 | 0.353 |