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The Nonlinear Programming Solver

Overview
Getting Started
A Simple Problem A Larger Optimization Problem An Optimization Problem with Many Local Minima A Least Squares Estimation Problem for a Regression Model
Syntax
Functional Summary NLP Solver Options
Details
Basic Definitions and Notation Constrained Optimization Interior Point Algorithm Active-Set Method Multistart Covariance Matrix Iteration Log for the Local Solver Iteration Log for Multistart Solver Termination Criterion Solver Termination Messages Macro Variable _OROPTMODEL_
Examples
Solving Highly Nonlinear Optimization Problems Solving Unconstrained and Bound-Constrained Optimization Problems Solving NLP Problems with Range Constraints Solving Large-Scale NLP Problems Solving NLP Problems That Have Several Local Minima Maximum Likelihood Weibull Estimation
References

Syntax: NLP Solver

The following PROC OPTMODEL statement is available for the NLP solver:

SOLVE WITH NLP </ options>;

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