Optimization : Insights and Applications /
This self-contained textbook is an informal introduction to optimization through the use of numerous illustrations and applications. The focus is on analytically solving optimization problems with a finite number of continuous variables. In addition, the authors provide introductions to classical an...
Clasificación: | Libro Electrónico |
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Autores principales: | , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Princeton, NJ :
Princeton University Press,
[2011]
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Edición: | Course Book |
Colección: | Princeton Series in Applied Mathematics ;
13 |
Temas: | |
Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- Frontmatter
- Contents
- Preface
- Necessary Conditions: What Is the Point?
- Chapter 1. Fermat: One Variable without Constraints
- Chapter 2. Fermat: Two or More Variables without Constraints
- Chapter 3. Lagrange: Equality Constraints
- Chapter 4. Inequality Constraints and Convexity
- Chapter 5. Second Order Conditions
- Chapter 6. Basic Algorithms
- Chapter 7. Advanced Algorithms
- Chapter 8. Economic Applications
- Chapter 9. Mathematical Applications
- Chapter 10. Mixed Smooth-Convex Problems
- Chapter 11. Dynamic Programming in Discrete Time
- Chapter 12. Dynamic Optimization in Continuous Time
- Appendix A. On Linear Algebra: Vector and Matrix Calculus
- Appendix B. On Real Analysis
- Appendix C. The Weierstrass Theorem on Existence of Global Solutions
- Appendix D. Crash Course on Problem Solving
- Appendix E. Crash Course on Optimization Theory: Geometrical Style
- Appendix F. Crash Course on Optimization Theory: Analytical Style
- Appendix G. Conditions of Extremum from Fermat to Pontryagin
- Appendix H. Solutions of Exercises of Chapters 1-4
- Bibliography
- Index