From: A method with inertial extrapolation step for convex constrained monotone equations
S/N | Starting points |
---|---|
1 | \(x_{0}=(0.2, 0.2, \ldots , 0.2)^{T}\), \(x_{1}=(0.1, 0.1, \ldots , 0.1)^{T}\) |
2 | \(x_{0}=(0.2, 0.2, \ldots , 0.2)^{T}\), \(x_{1}=(0.2, 0.2, \ldots , 0.2)^{T}\) |
3 | \(x_{0}=(0.5, 0.5, \ldots , 0.5)^{T}\), \(x_{1}=(0.5, 0.5, \ldots , 0.5)^{T}\) |
4 | \(x_{0}=(1.2, 1.2, \ldots , 1.2)^{T}\), \(x_{1}=(1.2, 1.2, \ldots , 1.2)^{T}\) |
5 | \(x_{0}=(1.5, 1.5, \ldots , 1.5)^{T}\), \(x_{1}=(1.5, 1.5, \ldots , 1.5)^{T}\) |
6 | \(x_{0}=(2, 2, \ldots , 2)^{T}\), \(x_{1}=(2, 2, \ldots , 2)^{T}\) |
7 | \(x_{0}=\operatorname{rand}(n,1)\), \(x_{1}=\operatorname{rand}(n,1)\) |