Struct OptimizationTrajectory 

pub struct OptimizationTrajectory {
    pub parameters: Vec<Array1<f64>>,
    pub function_values: Vec<f64>,
    pub gradient_norms: Vec<f64>,
    pub step_sizes: Vec<f64>,
    pub custom_metrics: HashMap<String, Vec<f64>>,
    pub nit: Vec<usize>,
    pub times: Vec<f64>,
}

Trajectory data collected during optimization

Fields

parameters: Vec<Array1<f64>>

Parameter values at each iteration

function_values: Vec<f64>

Function values at each iteration

gradient_norms: Vec<f64>

Gradient norms at each iteration (if available)

step_sizes: Vec<f64>

Step sizes at each iteration (if available)

custom_metrics: HashMap<String, Vec<f64>>

Custom metrics at each iteration

nit: Vec<usize>

Iteration numbers

times: Vec<f64>

Wall clock times (in seconds from start)

Implementations

impl OptimizationTrajectory

pub fn new() -> Self

Create a new empty trajectory

pub fn add_point( &mut self, iteration: usize, params: &ArrayView1<'_, f64>, function_value: f64, time: f64, )

Add a new point to the trajectory

pub fn add_gradient_norm(&mut self, grad_norm: f64)

Add gradient norm information

pub fn add_step_size(&mut self, step_size: f64)

Add step size information

pub fn add_custom_metric(&mut self, name: &str, value: f64)

Add custom metric

pub fn len(&self) -> usize

Get the number of recorded points

pub fn is_empty(&self) -> bool

Check if trajectory is empty

pub fn final_parameters(&self) -> Option<&Array1<f64>>

Get the final parameter values

pub fn final_function_value(&self) -> Option<f64>

Get the final function value

pub fn convergence_rate(&self) -> Option<f64>

Calculate convergence rate (linear convergence coefficient)

Trait Implementations

impl Clone for OptimizationTrajectory

fn clone(&self) -> OptimizationTrajectory

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for OptimizationTrajectory

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

Formats the value using the given formatter.

impl Default for OptimizationTrajectory

fn default() -> Self

Returns the “default value” for a type.