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Chapter 11 Nonlinear Optimization Examples

Chapter 11 Nonlinear Optimization ExamplesChapter Table of ..307 Kuhn-Tucker Conditions ..308 Definition of Return ..319 Termination Criteria..325 ControlParametersVector ..332 PrintingtheOptimizationHistory ..334 Nonlinear Optimization Chemical ..343 example MLEs for Two-Parameter Weibull Profile-Likelihood-Based Confidence ..357 example A Two-Equation Maximum Likelihood Problem ..363 example Time-Optimal Heat Conduction .. Chapter 11. Nonlinear Optimization ExamplesSAS OnlineDoc : Version 8 Chapter 11 Nonlinear Optimization ExamplesOverviewThe IML procedure offers a set of Optimization subroutines for minimizing or max-imizing a continuous Nonlinear functionf=f(x)ofnparameters, wherex=(x1;:::;xn)T.

subroutines can also be obtained by using the NLP procedure in the SAS/OR product. The advantages of the IML procedure are as follows: You can use matrix algebra to specify the objective function, nonlinear con-straints, and their derivatives in IML modules. The IML procedure offers several subroutines that can be used to specify the

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