Advances in Continuous and Discrete Models

Theory and Modern Applications

Table 3 The convergence of Algorithm 3.1 with each θ

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

Given: σ = 1, δ = 0.02, γ = 1.85, m = 80
γ	N = 1024, M = 512		N = 2048, M = 1024
γ	CPU	Iter	CPU	Iter
0.15	15.6425	2203	37.4697	2045
0.25	17.8066	2195	41.1519	1950
0.75	48.5706	1818	143.6058	1896
0.95	203.4910	1428	587.1587	1530

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