Nonlinear |
The NonlinearObjectiveFunctionNonAllocatingBase type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | DegreeOfFreedom | Gets the degrees of freedom. |
| FunctionEvaluations | Gets or sets the number of calls to the objective function. |
| Gradient | Gets the gradient vector. G = J'(y - f(x; p)). |
| Hessian | Gets the approximated Hessian matrix. H = J'J. |
| IsFixedByUser | Gets whether parameters are fixed or free (by the user). |
| IsFixedByUserOrBoundary | Gets or sets an array of the same length as the parameter array. If an element in this vector is , that parameter is either fixed by the user or fixed because the corresponding parameter has reached a boundary. This array is updated only at the end of the minimization process. |
| IsGradientSupported | Gets a value indicating whether the gradient can be provided by the model. |
| IsHessianSupported | Gets a value indicating whether the Hessian can be provided by the model. |
| JacobianEvaluations | Gets or sets the number of calls to the Jacobian. |
| ModelValues | Gets the y-values of the fitted model that correspond to the independent values. |
| NegativeGradient | Gets the negative gradient vector. -G = -J'(y - f(x; p)). |
| NumberOfObservations | Gets the number of observations. |
| NumberOfParameters | Gets the number of unknown parameters. |
| ObservedY | Gets the y-values of the observations. |
| Point | Gets the values of the parameters. |
| SigmaSquare | Gets Chi²/(N-F+1). |
| Value | Gets the residual sum of squares. |
| Weights | Gets or sets the values of the weights for the observations. |
See Also