Skip to main content

Theory and Modern Applications

Table 2 The convergence of Algorithm 3.1 with various γ

From: Novel forward–backward algorithms for optimization and applications to compressive sensing and image inpainting

Given: σ = 1, θ = 0.15, δ = 0.02, m = 80

γ

N = 1024, M = 512

N = 2048, M = 1024

CPU

Iter

CPU

Iter

0.15

383.4834

33,965

860.0725

32,155

0.55

70.5710

8959

165.9668

8510

1.35

27.1354

3732

59.5584

3278

1.95

15.6307

2243

35.8540

2024