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Table 1 Numerical results with different \((c,\rho)\) and initial value \(x_{0}\)

From: Strong convergence and bounded perturbation resilience of a modified proximal gradient algorithm

(c,ρ)

\(x_{0}=(0,0,\ldots,0)^{T}\)

\(x_{0}=(1,1,\ldots,1)^{T}\)

Iter.

Time

\(\Vert Ax_{n}-b \Vert\)

Iter.

Time

\(\Vert Ax_{n}-b \Vert\)

(0.1,0.5)

152

0.140

0.066

199

0.140

0.074

(0.8,0.5)

440

0.608

0.220

260

0.172

0.070

(0.9,0.2)

680

0.546

0.307

773

0.484

0.353