Part 1: Methods

Chapters

  1. Static Monte Carlo
  2. Dynamic Monte Carlo
  3. Dynamic Programming for Stochastic Optimization
  4. Finite Differences
  5. Linear Systems and PDEs
  6. Quadrature Methods
  7. The Laplace Transform
  8. Dependence and Copulas