Advances in Continuous and Discrete Models

Theory and Modern Applications

Table 5 The convergence of Algorithm 3.1 with different δ

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

Given: σ = 1, θ = 0.02, γ = 1.85, m = 80
γ	N = 1024, M = 512		N = 2048, M = 1024
γ	CPU	Iter	CPU	Iter
0.03	14.3172	2074	30.5167	1680
0.05	15.2507	2223	27.4978	1371
0.07	16.1215	2325	24.2387	1457
0.15	18.7078	2685	37.4357	2148

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