From: On convergence and complexity analysis of an accelerated forward–backward algorithm with linesearch technique for convex minimization problems and applications to data prediction and classification
Iteration no.
CPU time
MSE
\(\beta ^{1}_{n}\)
1000
0.0515
6.29 × 10−2
\(\beta ^{2}_{n}\)
425
0.0215
9.36 × 10−4
\(\beta ^{3}_{n}\)
0.0507
5.6 × 10−3
\(\beta ^{4}_{n}\)
433
0.0226
8.61 × 10−4