Struct ConvergenceCriteria 

pub struct ConvergenceCriteria {
    pub gradient_tolerance: f64,
    pub function_tolerance: f64,
    pub max_iterations: usize,
}

Criteria for determining optimization convergence.

Fields

gradient_tolerance: f64

Stop when gradient norm falls below this threshold

function_tolerance: f64

Stop when function value change falls below this threshold

max_iterations: usize

Maximum number of iterations

Implementations

impl ConvergenceCriteria

pub fn check_gradient(&self, gradient: &[f64]) -> bool

Check if converged based on gradient norm.

pub fn check_function(&self, prev_value: f64, curr_value: f64) -> bool

Check if converged based on function value change.

Trait Implementations

impl Clone for ConvergenceCriteria

fn clone(&self) -> ConvergenceCriteria

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ConvergenceCriteria

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

Formats the value using the given formatter.

impl Default for ConvergenceCriteria

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ConvergenceCriteria

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for ConvergenceCriteria

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.