Table 1 Computational Results for Example 1
Algorithms | Tolerance (TOL) | (\(\theta, \lambda _{n}, \lambda \)) | No. of Iter. | Time (s) |
|---|---|---|---|---|
Algorithm (3.1) | TOL = 10−4 | θ = 0.4 | 40 | 16.9233 |
Tam | \(\lambda _{n} = 0.125+(0.01562)n^{-1}\) | 41 | 12.3243 | |
Tseng | λ = 0.1406 | 400 | 134.3984 | |
Algorithm (3.1) | TOL = 10−4 | θ = 0.4 | 46 | 16.0526 |
Tam | \(\lambda _{n} = 0.01+(0.2)n^{-1}\) | 329 | 113.968 | |
Tseng | λ = 0.2100 | 400 | 82.4403 | |
Algorithm (3.1) | TOL = 9 × 10−3 | θ = 0.01 | 238 | 115.2452 |
Tam | \(\lambda _{n} = 0.125+(0.01562)n^{-1}\) | 21 | 9.2270 | |
Tseng | λ = 0.1406 | 400 | 125.1663 | |
Algorithm (3.1) | TOL = 9 × 10−3 | θ = 0.01 | 244 | 107.1992 |
Tam | \(\lambda _{n} = 0.01+(0.2)n^{-1}\) | 122 | 52.6718 | |
Tseng | λ = 0.2100 | 400 | 94.7951 |