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