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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
Partial Differential Equations
Classification of PDEs
Elliptic PDEs
Parabolic PDEs
Hyperbolic PDEs
Finite Difference Methods
Spatial Discretization
Temporal Discretization
Boundary Conditions
Elliptic Equations
Laplace Equation
Poisson Equation
Iterative Solution Methods
Multigrid Methods
Parabolic Equations
Heat Equation
Diffusion Equation
Explicit Methods
Implicit Methods
Crank-Nicolson Method
Hyperbolic Equations
Wave Equation
Advection Equation
Upwind Schemes
Lax Methods
CFL Condition
Finite Element Methods
Weak Formulation
Basis Functions
Mesh Generation
Assembly Process
Spectral Methods
Fourier Spectral Methods
Chebyshev Spectral Methods
Pseudospectral Methods
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10. Ordinary Differential Equations
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12. Monte Carlo Methods