Parameter fitting (analysis)
From BioUML platform
- Analysis title
- Parameter fitting
- Provider
- Institute of Systems Biology
- Class
ParameterFitting
- Plugin
- biouml.plugins.optimization (Optimization plug-in)
Parameters:
- Input diagram – Input diagram
- Experiment table – Experiment table
- Regime – Regime
- Data column – Data column
- Algorithm – Algorithm
- type – type
- Iterations number – Iterations number
- Survival size – Survival size
- Result – Result
- Simulation engine – Simulation engine
- Selected engine – Selected simulation engine.
- Java simulation engine – Deterministic simulation engine to solve system of odinary differential equations.
- Initial time – Initial time.
- Completion time – Completion time.
- Time increment – Time increment.
- Simulator name – Simulator name.
- Simulator options – Simulator options.
- Absolute tolerance – Absolute tolerance.
- Relative tolerance – Relative tolerance.
- Statistics mode – Statistics mode.
- Integration method – Integration method (ADAMS or BDF)
- Inner linear solver type – Inner linear solver type
- Jacobian approximation type – Jacobian approximation type
- Steps limit – Limitation for solver steps count
- Minimum time step – Minimum time step.
- Maximum time step inverted – 1 / maximum time step.
- Mu – Upper bandwidth of Banded Jacobian
- Ml – Lower bandwidth of Banded Jacobian
- Detect incorrect numbers (NaNs and Infs) – If true then simulation will end when NaN or Infinity encountered
- Code generation type – Type of code generation: if auto then BioUML will try to choose by itself.
- Constraints violation – How to handle constraints violation in the model.
- Fast reactions handling – Method to handle fast reactions: either as separate ODE system with very fast rate or as algebraic system.
- Algebraic solver name – Name of algebraic solver which will be used
- Algebraic Solver parameters – Parameters of algebraic solver which will be used
- Maximum iterations – Maximum iterations
- Function tolerance – Function tolerance
- Minimal gradient tolerance – Minimal gradient tolerance
- Points tolerance – Points tolerance