Solving Linear Systems on Randomly generated linear system Problem 3 (a_ii = (-1)^i * n, a_ij = j, b_i = i) 1
40Iteration CountGauss-Sedel-SR
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Gauss-Sedel-SRRelaxation factor (omega)=1.5, Threshold error (eta)=10^-082013.04 | 40 | — | |
| Jacobi-SRRelaxation factor (omega)=1.5, Threshold error (eta)=10^-082013.04 | 59 | — | |
| Gauss-Sedel-SRRelaxation factor (omega)=1.7, Threshold error (eta)=10^-082013.04 | 102 | — | |
| Jacobi-SRRelaxation factor (omega)=0.3, Threshold error (eta)=10^-082013.04 | 104 | — | |
| Gauss-Sedel-SRRelaxation factor (omega)=0.3, Threshold error (eta)=10^-082013.04 | 104 | — | |
| Jacobi-SRRelaxation factor (omega)=1.7, Threshold error (eta)=10^-082013.04 | 121 | — | |
| Jacobi-SRRelaxation factor (omega)=0.1, Threshold error (eta)=10^-082013.04 | 348 | — | |
| Gauss-Sedel-SRRelaxation factor (omega)=0.1, Threshold error (eta)=10^-082013.04 | 348 | — | |
| Gauss-Sedel-SRRelaxation factor (omega)=1.9, Threshold error (eta)=10^-082013.04 | 425 | — | |
| Jacobi-SRRelaxation factor (omega)=1.9, Threshold error (eta)=10^-082013.04 | 490 | — | |
| Gauss-Sedel-SRRelaxation factor (omega)=0.01, Threshold error (eta)=10^-082013.04 | 4,123 | — | |
| Jacobi-SRRelaxation factor (omega)=0.01, Threshold error (eta)=10^-082013.04 | 4,321 | — | |
| JBUAomega1=0.01, omega2=1.3, Threshold error (eta)=10^-082013.04 | — | 17 | |
| JBUAomega1=0.1, omega2=1.9, Threshold error (eta)=10^-082013.04 | — | 18 | |
| JBUAomega1=0.2, omega2=0.9, Threshold error (eta)=10^-082013.04 | — | 17 | |
| JBUAomega1=0.01, omega2=1.8, Threshold error (eta)=10^-082013.04 | — | 21 | |
| JBUAomega1=0.3, omega2=1.4, Threshold error (eta)=10^-082013.04 | — | 19 | |
| JBUAomega1=0.01, omega2=1.3, Threshold error (eta)=10^-082013.04 | — | 18 |