Nonlinear Optimization with Engineering Applications

2. Introducing Optimization
Michael Bartholomew–Biggs

3. One-variable Optimization
Michael Bartholomew–Biggs

4. Applications in n Variables
Michael Bartholomew–Biggs

5. n-Variable Unconstrained Optimization
Michael Bartholomew–Biggs

6. Direct Search Methods
Michael Bartholomew–Biggs

7. Computing Derivatives
Michael Bartholomew–Biggs

8. The Steepest Descent Method
Michael Bartholomew–Biggs

9. Weak Line Searches and Convergence
Michael Bartholomew–Biggs

10. Newton and Newton-like Methods
Michael Bartholomew–Biggs

11. Quasi-Newton Methods
Michael Bartholomew–Biggs

12. Conjugate Gradient Methods
Michael Bartholomew–Biggs

13. ASummary of Unconstrained Methods
Michael Bartholomew–Biggs

14. Optimization with Restrictions
Michael Bartholomew–Biggs

15. Larger-Scale Problems
Michael Bartholomew–Biggs

16. Global Unconstrained Optimization
Michael Bartholomew–Biggs

17. Equality Constrained Optimization
Michael Bartholomew–Biggs

18. Linear Equality Constraints
Michael Bartholomew–Biggs

19. Penalty Function Methods
Michael Bartholomew–Biggs

20. Sequential Quadratic Programming
Michael Bartholomew–Biggs

21. Inequality Constrained Optimization
Michael Bartholomew–Biggs

22. Extending Equality Constraint Methods
Michael Bartholomew–Biggs

23. Barrier Function Methods
Michael Bartholomew–Biggs

24. Interior Point Methods
Michael Bartholomew–Biggs

25. A Summary of Constrained Methods
Michael Bartholomew–Biggs

26. The OPTIMA Software
Michael Bartholomew–Biggs

Avainsanat: MATHEMATICS / General MAT000000