optlib-testfunc
| Crates.io | optlib-testfunc |
| lib.rs | optlib-testfunc |
| version | 0.1.0 |
| created_at | 2019-11-23 07:33:25.286332+00 |
| updated_at | 2019-11-23 07:33:25.286332+00 |
| description | The functions to test optimization algorithms. |
| homepage | https://github.com/Jenyay/rust-optimization |
| repository | https://github.com/Jenyay/rust-optimization |
| max_upload_size | |
| id | 183680 |
| size | 5,246 |
Eugeniy Ilin (Jenyay)
documentation
README
optlib-testfunc
The crate contains functions for optimization algorithms testing. All functions have one global minimum.
Optlib-testfunc contains in this version follow function:
- Paraboloid. y = (x0 - 1)^2 + (x1 - 2)^2 + (x2 - 3)^2 ... (xn - n)^2. For any x global minimum located in x' = (1.0, 2.0, ..., n). f(x') = 0.
- The Schwefel function. For any x lies in [-500.0; 500.0] global minimum located in x' = (420.9687, 420.9687, ...). f(x') = 0.
- The Rastrigin function. For any x lies in [-5.12; 5.12] global minimum located in x' = (0, 0, ...). f(x') = 0.
- The Rosenbrock function. For any x lies in [-inf; inf] global minimum located in x' = (1, 1, ...). f(x') = 0.