This crate provides (non-linear) numerical optimization methods.
It is heavily based on scipy.optimize.
The crate is actively developed and expanded to include more methods.
A simple example follows:
```rust
// Define a function that we aim to minimize
let function = |x: ArrayView1
// Create a minimizer using the builder pattern. If some of the parameters are not given, default values are used. let minimizer = NelderMeadBuilder::default() .xtol(1e-6f64) .ftol(1e-6f64) .maxiter(50000) .build() .unwrap();
// Set the starting guess let args = Array::from_vec(vec![3.0, -8.3]);
// Run the optimization let ans = minimizer.minimize(&function, args.view());
// Print the optimized values println!("Final optimized arguments: {}", ans); ```