Package jline.solvers.auto

Automatic solver selection and configuration for queueing networks.

This package provides an implementation of SolverAuto. It implements intelligent solver selection algorithms that automatically choose the most appropriate solution method based on network characteristics, model size, and accuracy requirements.

• Network topology and structure analysis
• Problem size and complexity assessment
• Required accuracy and performance trade-offs
• Available computational resources
• Model-specific feature requirements

• MVA - For Product Form closed networks
• JMT - For complex networks requiring simulation
• CTMC - For small state-space models
• SSA - For steady-state analysis
• Fluid - For large population models

• Rule-based selection for common patterns
• Performance prediction models
• Machine learning-based recommendations
• Hybrid solver cascading strategies

• Automatic parameter tuning
• Convergence criteria optimization
• Resource allocation management
• Fallback strategy implementation