 | Trust |
The TrustRegionParameterCalc type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | CalculationMessage | If the algorithm succeeds the string will be empty. Otherwise it will contain information about the failure. |
| Converged | Gets a boolean indicating convergence of the trust region minimization algorithm. |
| InformationMatrix | The information matrix is the matrix of negated second partial derivations of the log likelihood function. It is the inverse of the variance/covariance matrix for the parameter estimates. |
| IsGood | Gets a boolean indicating success of failure of the calculation. |
| Iterations | Gets the number of iterations performed by the most recent calculation. |
| MaxIterations | Gets and sets the maximum number of iterations for the trust region minimization algorithm. |
| Minimizer | Gets the TrustRegionMinimizer object used to calculate the parameters. TrustRegionMinimizer |
See Also