Optimization
Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attempts to strike a balance between presentation of mathematical theory and development of numerical algorithms. Build...
Đã lưu trong:
| Tác giả chính: | |
|---|---|
| Định dạng: | Livre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Phiên bản: | 2nd ed. 2013. |
| Loạt: | Springer Texts in Statistics
95 |
| Truy cập trực tuyến: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Chú thích: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Optimization, Kenneth Lange, 2nd edition, 2013, New York, Springer, 1 vol. (XVII-529 p.), Springer texts in statistics, 978-1-461-45837-1 • Optimization, Texte imprimé, 9781461458395 • Optimization, Kenneth Lange, 2nd edition, 2013, New York, Springer, 1 vol. (XVII-529 p.), Springer texts in statistics, 978-1-461-45837-1 • Optimization, Kenneth Lange, 2nd edition, 2013, New York, Springer, 1 vol. (XVII-529 p.), Springer texts in statistics, 978-1-461-45837-1 |
Mục lục:
- Elementary Optimization The Seven C s of Analysis The Gauge Integral Differentiation Karush-Kuhn-Tucker Theory Convexity Block Relaxation The MM Algorithm The EM Algorithm Newton s Method and Scoring Conjugate Gradient and Quasi-Newton Analysis of Convergence Penalty and Barrier Methods Convex Calculus Feasibility and Duality Convex Minimization Algorithms The Calculus of Variations Appendix: Mathematical Notes References Index