Advances in Continuous and Discrete Models

Theory and Modern Applications

Table 4 The convergence of Algorithm 3.1 with different σ

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

Given: δ = 0.02, θ = 0.15, γ = 1.85, m = 80
γ	N = 1024, M = 512		N = 2048, M = 1024
γ	CPU	Iter	CPU	Iter
0.1	13.2968	2228	26.7530	1765
1	14.3224	2069	39.0200	2177
10	19.6720	2428	54.4288	2624
100	21.7268	2261	49.6928	2165

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