The NLP procedure provides a variety of ways for estimating parameters in nonlinear statistical models and for obtaining approximate standard errors and covariance matrices for the estimators. These ...
See "Nonlinear Optimization and Related Subroutines" for a listing of all NLP subroutines. See Chapter 11, "Nonlinear Optimization Examples," for a description of the inputs to and outputs of all NLP ...
SIAM Journal on Numerical Analysis, Vol. 22, No. 5 (Oct., 1985), pp. 821-850 (30 pages) We consider the problem of minimizing a smooth function of n variables subject to m smooth equality constraints.
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