1 Introduction
2 General absolute value equation and unconstrained optimization problem
3 Modified HS conjugate gradient method
4 Numerical experiments
\(x^{*}\)
|
k
| Val |
---|---|---|
\((1.0000,1.0000,1.0000)^{T}\)
| 23 | 1.0688e−07 |
\((1.0000,1.0000,1.0000)^{T}\)
| 27 | 4.0769e−07 |
\((1.0000,1.0000,1.0000)^{T}\)
| 23 | 1.9399e−07 |
\((1.0000,1.0000,1.0000)^{T}\)
| 23 | 3.1369e−07 |
\((1.0000,1.0000,1.0000)^{T}\)
| 25 | 1.4218e−07 |
\(x^{*}\)
|
k
| Val |
---|---|---|
\((1.0000,1.0000,1.0000,1.0000,1.0000,1.0000)^{T}\)
| 47 | 2.1860e−07 |
\((1.0000,1.0000,1.0000,1.0000,1.0000,1.0000)^{T}\)
| 47 | 4.0285e−07 |
\((1.0000,1.0000,1.0000,1.0000,1.0000,1.0000)^{T}\)
| 53 | 2.3442e−07 |
\((1.0000,1.0000,1.0000,1.0000,1.0000,1.0000)^{T}\)
| 49 | 3.8555e−07 |
\((1.0000,1.0000,1.0000,1.0000,1.0000,1.0000)^{T} \)
| 52 | 2.7053e−07 |
n
|
\(x^{*}\)
|
k
| Val |
---|---|---|---|
10 |
\((1.0000,1.0000,\ldots,1.0000)^{T}\)
| 8 | 4.5674e−05 |
10 |
\((1.0000,1.0000,\ldots,1.0000)^{T}\)
| 9 | 5.0220e−05 |
50 |
\((1.0000,1.0000,\ldots,1.0000)^{T}\)
| 11 | 7.1865e−05 |
50 |
\((1.0000,1.0000,\ldots,1.0000)^{T}\)
| 12 | 3.1082e−05 |
100 |
\((1.0000,1.0000,\ldots,1.0000)^{T}\)
| 14 | 4.2381e−05 |
100 |
\((1.0000,1.0000,\ldots,1.0000)^{T}\)
| 14 | 4.2647e−05 |
200 |
\((1.0000,1.0000,\ldots,1.0000)^{T}\)
| 12 | 4.0803e−05 |
200 |
\((1.0000,1.0000,\ldots,1.0000)^{T}\)
| 12 | 4.3772e−05 |
300 |
\((1.0000,1.0000,\ldots,1.0000)^{T}\)
| 12 | 5.5250e−05 |
300 |
\((1.0000,1.0000,\ldots,1.0000)^{T}\)
| 12 | 4.3772e−05 |