Mathematical Theory of Optimization
(Sprache: Englisch)
This book provides an introduction to the mathematical theory of optimization. It emphasizes the convergence theory of nonlinear optimization algorithms and applications of nonlinear optimization to combinatorial optimization. Mathematical Theory of...
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Klappentext zu „Mathematical Theory of Optimization “
This book provides an introduction to the mathematical theory of optimization. It emphasizes the convergence theory of nonlinear optimization algorithms and applications of nonlinear optimization to combinatorial optimization. Mathematical Theory of Optimization includes recent developments in global convergence, the Powell conjecture, semidefinite programming, and relaxation techniques for designs of approximation solutions of combinatorial optimization problems.
Inhaltsverzeichnis zu „Mathematical Theory of Optimization “
Preface. 1. Optimization Problems. 2. Linear Programming. 3. Blind Man's Method. 4. Hitting Walls. 5. Slope and Path Length. 6. Average Slope. 7. Inexact Active Constraints. 8. Efficiency. 9. Variable Metric Methods. 10. Powell's Conjecture. 11. Minimax. 12. Relaxation. 13. Semidefinite Programming. 14. Interior Point Methods. 15. From Local to Global. Historical Notes. Bibliography. Index.
Bibliographische Angaben
- Autoren: Ding-Zhu Du , Panos M. Pardalos , Weili Wu
- 2001, 2001, 273 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer
- ISBN-10: 1402000154
- ISBN-13: 9781402000157
- Erscheinungsdatum: 31.10.2001
Sprache:
Englisch
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