Expand description
Enhanced convergence diagnostics for optimization algorithms
This module provides comprehensive diagnostic capabilities for monitoring and analyzing optimization progress, including:
- Real-time convergence metrics tracking
- Algorithm health indicators
- Performance profiling
- Iteration-by-iteration analysis
- Convergence prediction
- Problem difficulty assessment
- Visualization data export
Structs§
- Conditioning
Analysis - Conditioning analysis
- Convergence
Analysis - Convergence analysis results
- Convergence
Diagnostics - Comprehensive convergence diagnostics
- Convergence
Metrics - Convergence metrics for an iteration
- Diagnostic
Collector - Diagnostic collector for gathering convergence information
- Diagnostic
Options - Options for diagnostic collection
- Diagnostic
Warning - Diagnostic warnings and recommendations
- Efficiency
Metrics - Efficiency metrics
- Iteration
Diagnostic - Diagnostic information for a single iteration
- Line
Search Diagnostic - Line search diagnostic information
- Performance
Metrics - Overall performance metrics
- Problem
Analysis - Problem analysis results
- Stagnation
Analysis - Stagnation analysis
Enums§
- Convergence
Phase - Convergence phase detection
- Convergence
Rate - Convergence rate classification
- Export
Format - Export format for diagnostic data
- Problem
Difficulty - Problem difficulty classification
- Problem
Feature - Detected problem features
- Stagnation
Type - Types of stagnation
- Warning
Severity - Warning severity levels