Optimisable (PULsE 1.98 API)

All Known Implementing Classes:

AbsorptionModel, AdjustableBaseline, Baseline, BeerLambertAbsorption, ClassicalProblem, ClassicalProblem2D, DiathermicMedium, FlatBaseline, Harmonic, Insulator, LinearBaseline, NonlinearProblem, OptimisablePolyline, ParticipatingMedium, PenetrationProblem, Problem, Range, SinusoidalBaseline, ThermoOpticalProperties, TwoTemperatureModel
```
public interface Optimisable
```
An interface for dealing with optimisation variables. The variables are collected in IndexedVectors according to the pattern set up by a list of Flags.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`void`	`assign(ParameterVector input)`	Assigns parameter values of this `Optimisable` using the optimisation vector `params`.
`void`	`optimisationVector(ParameterVector output)`	Calculates the vector argument defined on Rⁿ to the scalar objective function for this `Optimisable`.

- Method Detail
  - assign
```
void assign(ParameterVector input)
     throws SolverException
```
    Assigns parameter values of this Optimisable using the optimisation vector params. Only those parameters will be updated, the types of which are listed as indices in the params vector.
    
    Parameters:
    
    input - the optimisation vector, containing a similar set of parameters to this Problem
    
    Throws:
    
    SolverException - if params contains invalid parameter values
  - optimisationVector
```
void optimisationVector(ParameterVector output)
```
    Calculates the vector argument defined on Rⁿ to the scalar objective function for this Optimisable.
    
    Parameters:
    
    output - the output vector where the result will be stored