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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
Numerical Integration
Newton-Cotes Formulas
Trapezoidal Rule
Simpson's Rule
Composite Rules
Gaussian Quadrature
Legendre Polynomials
Gauss-Legendre Quadrature
Other Gaussian Methods
Adaptive Integration
Adaptive Simpson's Rule
Romberg Integration
Monte Carlo Integration
Basic Monte Carlo
Importance Sampling
Stratified Sampling
Multidimensional Integration
Product Rules
Sparse Grids
Monte Carlo Methods
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6. Numerical Differentiation
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8. Linear Systems