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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
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