Basic Concepts in Computational Physics 2nd Edition Benjamin A. Stickler

1. Deterministic Methods

2. Numerical Differentiation

3. Numerical Integration

4. The Kepler Problem

5. Ordinary Differential Equations: Initial Value Problems

6. The Double Pendulum

7. Molecular Dynamics

8. Numerics of Ordinary Differential Equations: Boundary Value Problems

9. The One-Dimensional Stationary Heat Equation

10. The One-Dimensional Stationary Schrödinger Equation

11. Partial Differential Equations

12. Pseudo-random Number Generators

13. Random Sampling Methods

14. A Brief Introduction to Monte-Carlo Methods

15. The Ising Model

16. Some Basics of Stochastic Processes

17. The Random Walk and Diffusion Theory

18. Markov-Chain Monte Carlo and the Potts Model

19. Data Analysis

20. Stochastic Optimization