Struct GradientDescent

pub struct GradientDescent {
    pub abs_tol: TensorRank0,
    pub max_steps: usize,
}

The method of gradient descent.

Fields

abs_tol: TensorRank0

Absolute error tolerance.

max_steps: usize

Maximum number of steps.

Trait Implementations

impl Debug for GradientDescent

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for GradientDescent

fn default() -> Self

Returns the “default value” for a type.

impl<F, X> FirstOrderOptimization<F, X> for GradientDescent

where X: Tensor,

fn minimize( &self, _function: impl Fn(&X) -> Result<F, OptimizeError>, jacobian: impl Fn(&X) -> Result<X, OptimizeError>, initial_guess: X, equality_constraint: EqualityConstraint, ) -> Result<X, OptimizeError>

impl<X> ZerothOrderRootFinding<X> for GradientDescent

where X: Tensor,

fn root( &self, function: impl Fn(&X) -> Result<X, OptimizeError>, initial_guess: X, equality_constraint: EqualityConstraint, ) -> Result<X, OptimizeError>