Package jline.solvers.auto
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.
Selection Criteria
- Network topology and structure analysis
- Problem size and complexity assessment
- Required accuracy and performance trade-offs
- Available computational resources
- Model-specific feature requirements
Supported Solvers
- 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
Decision Algorithms
- Rule-based selection for common patterns
- Performance prediction models
- Machine learning-based recommendations
- Hybrid solver cascading strategies
Configuration Features
- Automatic parameter tuning
- Convergence criteria optimization
- Resource allocation management
- Fallback strategy implementation
- Since:
- LINE 2.0
- See Also:
-
ClassesClassDescriptionAUTO is an alias for SolverAUTO (Automatic solver selection).Options specific to the AUTO solverLINE solver - Java/Kotlin implementation equivalent to MATLAB LINE.mHelper class to analyze model characteristics for solver selectionAutomatic solver selection for queueing network models.