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Physics
Applied and Interdisciplinary Physics
Computational Physics
1. Introduction to Computational Physics
2. Mathematical Foundations
3. Programming Fundamentals
4. Computer Arithmetic and Error Analysis
5. Root Finding Methods
6. Numerical Differentiation
7. Numerical Integration
8. Linear Systems
9. Eigenvalue Problems
10. Ordinary Differential Equations
11. Partial Differential Equations
12. Monte Carlo Methods
13. Molecular Dynamics
14. Data Analysis and Visualization
15. Applications in Classical Mechanics
16. Applications in Electromagnetism
17. Applications in Quantum Mechanics
18. Applications in Statistical Mechanics
19. Applications in Fluid Dynamics
20. High-Performance Computing
Mathematical Foundations
Linear Algebra for Computational Physics
Vector Operations
Matrix Operations
Eigenvalue Problems
Singular Value Decomposition
Matrix Norms and Condition Numbers
Calculus and Analysis
Differential Calculus
Integral Calculus
Vector Calculus
Complex Analysis Basics
Fourier Analysis
Differential Equations
Ordinary Differential Equations
Partial Differential Equations
Boundary Conditions
Initial Conditions
Probability and Statistics
Probability Distributions
Statistical Measures
Error Analysis
Monte Carlo Theory
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