Expand description
Real-time performance adaptation system for ODE solvers
This module provides cutting-edge real-time performance monitoring and adaptive optimization capabilities. It continuously monitors solver performance and automatically adjusts algorithms, parameters, and resource allocation to maintain optimal performance in dynamic computing environments.
Features:
- Real-time performance metric collection and analysis
- Adaptive algorithm switching based on problem characteristics
- Dynamic resource allocation and load balancing
- Predictive performance modeling and optimization
- Machine learning-based parameter tuning
- Anomaly detection and automatic recovery
Re-exports§
pub use algorithm_selector::*;pub use anomaly_detector::*;pub use config_adapter::*;pub use monitor::*;pub use predictor::*;pub use resource_manager::*;pub use types::*;
Modules§
- algorithm_
selector - Adaptive algorithm selection implementation
- anomaly_
detector - Performance anomaly detection implementation
- config_
adapter - Configuration adaptation implementation
- monitor
- Performance monitoring implementation
- predictor
- Performance prediction implementation
- resource_
manager - Dynamic resource management implementation
- types
- Type definitions for real-time performance adaptation system