Struct CG 

pub struct CG { /* private fields */ }

Conjugate Gradient optimization algorithm

This struct configures the nonlinear conjugate gradient method with Polak-Ribiere+ (PR+) beta and orthogonality-based restarts. It is gradient-only (first-order) and memory-efficient, suitable for large-scale problems.

Fields

• max_steps - Maximum number of optimization steps.
• gtol - Optional tolerance for gradient norm (stop if ||grad|| < gtol).
• ftol - Optional tolerance for change in objective value (stop if |f - prev_f| < ftol).

Implementations

impl CG

pub fn new(max_steps: usize, gtol: Option<f64>, ftol: Option<f64>) -> Self

Trait Implementations

impl Display for CG

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

Formats the value using the given formatter.

impl Optimizer for CG

fn optimize( &self, function: &dyn Fn(&Tensor) -> Tensor, x0: &Tensor, ) -> Result<Tensor>

Creates a new CG optimizer with the given parameters.

Arguments

• max_steps - Maximum iterations.
• gtol - Optional gradient tolerance.
• ftol - Optional function value change tolerance.

Returns

Configured CG instance.