Residual Hessian parameters

In general, we do not recommend modifying the constraints for the Residual, Hessian Parameters and line search parameters. When running the model for the first time, we increase the number of creep iterations and maximum iterations. 

From the sensitivities and model solution, we can then calculate the gradient of the objective function and the Gauss-Newton approximation of the Hessian matrix. Reliable and robust numerical optimization programs are available to find the optimal values of the parameters. These programs are generally more efficient if we provide the gradient in addition to the objective function. The Hessian is normally needed only to calculate the confidence intervals after the optimal parameters are determined. If we define e to be the residual vector... 

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