Synopsis
General Preface. Preface. Acknowledgements. 1. Introduction. 2. Classical Optimality Conditions. 3. Basic Convex Programming. 4. Asymptotic Optimality Conditions. 5. Non-Smooth Programs. 6. Multi-Objective Programs. 7. Introduction to Stability. 8. Locally Optimal Parameters. 9. Globally Optimal Parameters. 10. Optimal Value Function. 11. Partly Convex Programming. 12. Numerical Methods in PCP. 13. Zermelo's Navigation Problems. 14. Efficiency Testing in Data Envelopment Analysis. 15. Orientation. Appendix: Method of Weierstrass. Glossary of Symbols. References. Index.
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