Optimization
- 1st ed.
- New Delhi: Springer, 2010.
- xiii;252p. PAPER BACK 23cm.
Mathematics
CONTENTS Preface 1. Elementary Optimization 2. The seven c's of analysis 3. Differentiation 4. Karush-Kuhn-Tucker theory 5. Convexity 6. The MM Algorithm 7. The EM Algorithm 8. Newton's method 9. Conjugate Gradient and Quasi-Newton 10. Analysis of convergence 11. Convex Programming