Elsevier < Decision Sciences Publications < Handbooks in Operations Research and Management Science < Volume 1: Optimization < Chapter 3


OPTIMIZATION
Edited by G.L. Nemhauser, A.H.G. Rinnooy Kan and M.J. Todd

CHAPTER 3
Constrained Nonlinear Programming
P.E. Gill, W. Murray, M.A. Saunders and M.H. Wright

1. Equality constraints*  

2. Equality-constrained quadratic programming

3. Overview of methods

4. The quadratic penality function

5. The /1 penalty function

6. Sequential quadratic programming methods

7. Sequential linearly constrained methods

8. Augmented Lagrangian methods

9. Inequality constraints

10. Inequality-constrained quadratic programming

11. Penalty-function methods for inequalities

12. Sequential quadratic programming methods

13. Sequential linearly constrained methods

14. Augmented Lagrangian methods

15. Barrier-function methods

References

* The first two pages of the chapters are available as PDF file.

External linkComplete chapters on ScienceDirect

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