Enum ResamplingMethod 

pub enum ResamplingMethod {
    Multinomial,
    Systematic,
    Stratified,
}

Resampling algorithms for particle filters.

Different resampling methods offer trade-offs between computational efficiency, variance reduction, and implementation complexity. All methods aim to replace low-weight particles with copies of high-weight particles.

Variants

• Multinomial - Simple multinomial resampling (high variance)
• Systematic - Low-variance systematic resampling (recommended)
• Stratified - Stratified resampling (balanced variance/complexity)

Examples

use fugue::*;

// Configure SMC with different resampling methods
let config_systematic = SMCConfig {
    resampling_method: ResamplingMethod::Systematic,
    ..Default::default()
};

let config_multinomial = SMCConfig {
    resampling_method: ResamplingMethod::Multinomial,
    ..Default::default()
};

Variants

Multinomial

Simple multinomial resampling with replacement.

Systematic

Low-variance systematic resampling (recommended).

Stratified

Stratified resampling with balanced variance.

Trait Implementations

impl Clone for ResamplingMethod

fn clone(&self) -> ResamplingMethod

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ResamplingMethod

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

Formats the value using the given formatter.

impl Copy for ResamplingMethod