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Computational Physics

Introduction

1. Plotting basics
2. Machine precision
3. Interpolation
4. Linear algebra
5. Non-linear equations
6. Numerical integration
7. Numerical differentiation
8. Ordinary differential equations (ODEs)
9. Classical mechanics
- Classical mechanics problems
- Molecular dynamics simulations
10. Partial differential equations (PDEs)
11. Random numbers and Monte Carlo methods
12. Statistical Physics
13. Quantum Mechanics
14. Fourier transform

Binder
Colab

.ipynb

Quantum Mechanics

13. Quantum Mechanics#

Numerical methods play many important roles in quantum mechanics applications. Here we will cover a small selection of them.

Matrix methods for quantum mechanics
Time dependent Schrödinger equation
Variational Monte Carlo

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Matrix methods for quantum mechanics

By Volodymyr Vovchenko (University of Houston)

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