Struct AdaptiveOptimizer 

pub struct AdaptiveOptimizer { /* private fields */ }

Runtime algorithm selector

Implementations

impl AdaptiveOptimizer

pub fn new() -> Self

Create a new adaptive optimizer

pub fn set_auto_tuning(&mut self, enabled: bool)

Enable or disable auto-tuning

pub fn set_learning_rate(&mut self, rate: f64)

Set learning rate for performance adaptation

pub fn select_algorithm<'a, T>( &self, variants: &'a [Box<dyn AlgorithmVariant<T>>], input: &T, strategy: DispatchStrategy, ) -> Option<&'a dyn AlgorithmVariant<T>>

Select best algorithm variant based on strategy

pub fn execute_with_tracking<T>( &self, variant: &dyn AlgorithmVariant<T>, input: &T, ) -> Result<T, AlgorithmError>

Execute algorithm with performance tracking

pub fn get_performance_stats( &self, algorithm_name: &str, ) -> Option<AlgorithmPerformance>

Get performance statistics for an algorithm

pub fn auto_tune_parameters<T, P>( &self, algorithm_factory: impl Fn(P) -> Box<dyn AlgorithmVariant<T>>, parameter_ranges: Vec<(P, P)>, test_inputs: &[T], iterations: usize, ) -> P

where P: Clone + PartialOrd + Debug, T: Clone,

Auto-tune parameters for an algorithm

Trait Implementations

impl Default for AdaptiveOptimizer

fn default() -> Self

Returns the “default value” for a type.