A First Course in Optimization Theory (häftad)
Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
376
Utgivningsdatum
1996-06-01
Förlag
Cambridge University Press
Medarbetare
Rangarajan K., Sundaram
Illustratör/Fotograf
11 diagrams
Illustrationer
11d.
Dimensioner
252 x 177 x 20 mm
Vikt
675 g
Antal komponenter
1
Komponenter
66:B&W 7 x 10 in or 254 x 178 mm Perfect Bound on White w/Gloss Lam
ISBN
9780521497701

A First Course in Optimization Theory

Häftad,  Engelska, 1996-06-01
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This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines. The first of its three parts examines the existence of solutions to optimization problems in Rn, and how these solutions may be identified. The second part explores how solutions to optimization problems change with changes in the underlying parameters, and the last part provides an extensive description of the fundamental principles of finite- and infinite-horizon dynamic programming. Each chapter contains a number of detailed examples explaining both the theory and its applications for first-year master's and graduate students. 'Cookbook' procedures are accompanied by a discussion of when such methods are guaranteed to be successful, and, equally importantly, when they could fail. Each result in the main body of the text is also accompanied by a complete proof. A preliminary chapter and three appendices are designed to keep the book mathematically self-contained.
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  • First Course in Optimization Theory

    Rangarajan K Sundaram

    This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines. The first of its three parts examines the existence of solutions to optimization problems in Rn, and how these solution...

Recensioner i media

'... the book is an excellent reference for self-studies, especially for students in business and economics.' H. Noltemeier, Wrzberg

Innehållsförteckning

1. Mathematical preliminaries; 2. Optimization in Rn; 3. Existence of solutions: the Weierstrass theorem; 4. Unconstrained optima; 5. Equality constraints and the theorem of Lagrange; 6. Inequality constraints and the theorem of Kuhn and Tucker; 7. Convex structures in optimization theory; 8. Quasi-convexity and optimization; 9. Parametric continuity: the maximum theorem; 10. Supermodularity and parametric monotonicity; 11. Finite-horizon dynamic programming; 12. Stationary discounted dynamic programming; Appendix A. Set theory and logic: an introduction; Appendix B. The real line; Appendix C. Structures on vector spaces; Bibliography.