Module adaptive_optimization 

Adaptive optimization and runtime algorithm selection

Provides dynamic dispatch, auto-tuning capabilities, and machine learning-guided optimization for SIMD operations based on runtime characteristics and performance feedback.

no-std Compatibility

This module supports both std and no-std environments through conditional compilation.

Dependencies for no-std:

• alloc crate for collections and Arc
• spin crate for Mutex (add spin = "0.9" to Cargo.toml)
• rand crate for random number generation

Features:

• Use std feature flag to enable std functionality
• Without std feature, timing functionality uses mock values
• SystemTime-based timestamps are disabled in no-std mode

Structs

AdaptiveOptimizer

Runtime algorithm selector

AlgorithmPerformance

Algorithm performance record

AutoTuningConfig

Auto-tuning configuration

FeedbackRecord

PerformanceFeedbackLoop

Performance feedback loop for continuous optimization

Enums

AlgorithmError

Error type for algorithm execution

DispatchStrategy

Dynamic dispatch strategy

Traits

AlgorithmVariant

Algorithm variant for dynamic selection