This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: solutions can be obtained with current technology. A secondary objective is to begin describing the different functional forms that are encountered in NLPs. Objectives: At the end of this lesson, you will be able to: 1. Graph and solve a two-dimensional nonlinear program. 2. Identify the solution characteristics of simple NLPs. 3. Explain the difference between local and global optimality, and identify the circumstances under which local solutions are also global. 4. Identify convex and concave functions and explain their importance in nonlinear programming. 5. Determine the Hessian matrix of a twice continuously differentiable function. 6. Explain the relationship between the Hessian and the convexity of a function. 7. Explain the limitations of computational techniques designed to solve NLPs....
View Full Document
- Spring '08