Struct ConvergenceVisualizer 

pub struct ConvergenceVisualizer {
    pub max_iterations: usize,
    pub tolerance: f64,
    pub track_multiple_metrics: bool,
}

Advanced convergence visualization for iterative algorithms

Fields

max_iterations: usize

Maximum number of iterations to track

tolerance: f64

Convergence tolerance

track_multiple_metrics: bool

Track multiple convergence metrics

Implementations

impl ConvergenceVisualizer

pub fn new(maxiterations: usize, tolerance: f64) -> Self

Create new convergence visualizer

pub fn plot_residual_convergence( &self, residuals: &Array1<f64>, algorithm_name: &str, ) -> IntegrateResult<ConvergencePlot>

Create convergence plot for residuals

pub fn plot_multi_metric_convergence( &self, metrics: &[(String, Array1<f64>)], ) -> IntegrateResult<MultiMetricConvergencePlot>

Create multi-metric convergence plot

pub fn plot_step_size_analysis( &self, step_sizes: &Array1<f64>, errors: &Array1<f64>, method_name: &str, ) -> IntegrateResult<StepSizeAnalysisPlot>

Visualize error vs. step size for method comparison

pub fn plot_phase_space_density( &self, x_data: &Array1<f64>, y_data: &Array1<f64>, grid_size: usize, ) -> IntegrateResult<PhaseDensityPlot>

Create phase space density plot for attractor visualization

Trait Implementations

impl Clone for ConvergenceVisualizer

fn clone(&self) -> ConvergenceVisualizer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ConvergenceVisualizer

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

Formats the value using the given formatter.

impl Default for ConvergenceVisualizer

fn default() -> Self

Returns the “default value” for a type.