Type Definition nlopt::MObjectiveFn

type MObjectiveFn<T> = fn(result: &mut [f64], argument: &[f64], gradient: Option<&mut [f64]>, user_data: &mut T);

A function f(x) | R^n --> R^m with additional user specified parameters user_data of type T.

• result - m-dimensional array to store the value f(x)
• argument - n-dimensional array x
• gradient - n×m-diconstraint array to store the gradient grad f(x). The n dimension of gradient is stored contiguously, so that df_i / dx_j is stored in gradient[i*n + j]. If gradient is Some(x), the user is required to return a valid gradient, otherwise the optimization will most likely fail.
• user_data - user defined data