Nonlinear |
The NonlinearObjectiveFunctionNonAllocatingBase type exposes the following members.
| Name | Description | |
|---|---|---|
| _accuracyOrder | The desired accuracy order to evaluate the jacobian by numerical approximaiton. | |
| _coefficients | Coefficients for the model. | |
| _f1 | Temporary function-evaluation vectors used for numerical differentiation. | |
| _f2 | Temporary function-evaluation vectors used for numerical differentiation. | |
| _f3 | Temporary function-evaluation vectors used for numerical differentiation. | |
| _f4 | Temporary function-evaluation vectors used for numerical differentiation. | |
| _f5 | Temporary function-evaluation vectors used for numerical differentiation. | |
| _f6 | Temporary function-evaluation vectors used for numerical differentiation. | |
| _functionValue | The residual sum of squares, residuals * residuals. | |
| _hasFunctionValue | Indicates if the function value has been computed. | |
| _hasJacobianValue | Indicates if the jacobian has been computed. | |
| _hessianValue | The Hessian matrix. | |
| _jacobianValue | The Jacobian matrix. | |
| _jacobianValueTransposed | The Jacobian matrix, transposed. | |
| _negativeGradientValue | The Gradient vector. | |
| _residuals | The weighted error values. | |
| L | Gets or sets the Cholesky factorization of the weights = LL'. |