Module streaming 

Streaming Optimization Module

This module provides optimization algorithms specifically designed for streaming data and real-time optimization scenarios. Unlike traditional batch optimization methods, these algorithms can process data incrementally and adapt to changing conditions.

Key Features

• Online Gradient Descent: Incremental parameter updates for streaming data
• Streaming Trust Region: Adaptive trust region methods for non-stationary problems
• Incremental Newton Methods: Memory-efficient quasi-Newton updates
• Rolling Window Optimization: Optimization over sliding windows of data
• Real-time Parameter Estimation: Continuous parameter adaptation

Applications

• Real-time signal processing optimization
• Online system identification
• Adaptive control systems
• Streaming least squares problems
• Non-stationary optimization problems

Re-exports

pub use advanced_adaptive_streaming::*;

pub use incremental_newton::*;

pub use online_gradient_descent::*;

pub use real_time_estimation::*;

pub use rolling_window::*;

pub use streaming_trust_region::*;

Modules

advanced_adaptive_streaming

Advanced-Adaptive Streaming Optimization

incremental_newton

Incremental Newton Methods for Streaming Optimization

online_gradient_descent

Advanced Online Gradient Descent with Distributed Consensus

real_time_estimation

Real-time Parameter Estimation

rolling_window

Rolling Window Optimization

streaming_trust_region

Streaming Trust Region Methods

utils

Utility functions for streaming optimization

Structs

LinearRegressionObjective

Linear regression objective for streaming optimization

LogisticRegressionObjective

Logistic regression objective for streaming optimization

StreamingConfig

Configuration for streaming optimization algorithms

StreamingDataPoint

A data point for streaming optimization

StreamingStats

Statistics for streaming optimization

Traits

StreamingObjective

Trait for objective functions in streaming optimization

StreamingOptimizer

Trait for streaming optimization algorithms