Function autodiff::forward_autodiff::grad [−][src]
pub fn grad<G>(f: G, x0: &[f64]) -> Vec<f64> where
G: Fn(&[F1]) -> F1,
Evaluates the gradient of f
at x0
Note that it is much more efficient to use Backward or Reverse-mode automatic differentiation for computing gradients of scalar valued functions.
Examples
use autodiff::*; // Define a multivariate function `f(x,y) = x*y^2` let f = |x: &[F1]| x[0] * x[1] * x[1]; // Differentiate `f` at `(1,2)`. let g = grad(f, &vec![1.0, 2.0]); println!("({}, {})", g[0], g[1]); // prints `(4, 4)`