Part I: Introduction
1. Introduction
2. Elementary Concepts in Numerical Analysis

Part II: Basics from Numerical Analysis on Rn
3. Linear equations and Iterative Methods
4. Optimization
5. Nonlinear Equations
6. Approximation Methods
7. Numerical Integration and Differentiation
8. Monte Carlo and Simulation Methods
9. Quasi-Monte Carlo Methods

Part III: Numerical Methods for Functional Problems
10. Finite-Difference Methods
11. Projection Methods for Functional Equations
12. Numerical Dynamic Programming

Part IV: Perturbation Methods
13. Regular Perturbations of Simple Systems
14. Regular Perturbations in Multidimensional Systems
15. Advanced Asymptotic Methods

Part V: Applications to Dynamic Equilibrium Analysis
16. Solution Methods for Perfect Foresight Models
17. Solving Rational Expectations Models

References
Index