Solving Linear Systems on Randomly generated linear system Problem 4 (a_ii = -n, a_ij = +/- 4j, b_i = 2n) 1
133IterationsJacobi-SR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Jacobi-SRRelaxation factor (omega)=1.5, Threshold error (eta)=10^-082013.04 | 133 | — | |
| Jacobi-SRRelaxation factor (omega)=0.2, Threshold error (eta)=10^-082013.04 | 165 | — | |
| Gauss-Sedel-SRRelaxation factor (omega)=0.2, Threshold error (eta)=10^-082013.04 | 175 | — | |
| Jacobi-SRRelaxation factor (omega)=1.75, Threshold error (eta)=10^-082013.04 | 1,264 | — | |
| Jacobi-SRRelaxation factor (omega)=0.1, Threshold error (eta)=10^-082013.04 | 14,900 | — | |
| Gauss-Sedel-SRRelaxation factor (omega)=0.1, Threshold error (eta)=10^-082013.04 | 15,000 | — | |
| Jacobi-SRRelaxation factor (omega)=0.01, Threshold error (eta)=10^-082013.04 | 17,000 | — | |
| Gauss-Sedel-SRRelaxation factor (omega)=0.01, Threshold error (eta)=10^-082013.04 | 17,500 | — | |
| Gauss-Sedel-SRRelaxation factor (omega)=1.5, Threshold error (eta)=10^-082013.04 | 20,000 | — | |
| Gauss-Sedel-SRRelaxation factor (omega)=1.75, Threshold error (eta)=10^-082013.04 | 25,000 | — | |
| JBUAomega1=0.01, omega2=1.9, Threshold error (eta)=10^-082013.04 | — | 38 | |
| JBUAomega1=0.1, omega2=0.5, Threshold error (eta)=10^-082013.04 | — | 37 | |
| JBUAomega1=0.2, omega2=1.2, Threshold error (eta)=10^-082013.04 | — | 36 | |
| JBUAomega1=0.01, omega2=1.8, Threshold error (eta)=10^-082013.04 | — | 37 | |
| JBUAomega1=0.3, omega2=1.4, Threshold error (eta)=10^-082013.04 | — | 40 | |
| JBUAomega1=1.0, omega2=1.5, Threshold error (eta)=10^-082013.04 | — | 36 |