UsefulLinks
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
14.
Data Analysis and Visualization
14.1.
Data Management
14.1.1.
File Formats
14.1.2.
Data Storage
14.1.3.
Data Preprocessing
14.1.4.
Large Dataset Handling
14.2.
Statistical Analysis
14.2.1.
Descriptive Statistics
14.2.2.
Hypothesis Testing
14.2.3.
Regression Analysis
14.2.4.
Time Series Analysis
14.3.
Curve Fitting
14.3.1.
Linear Least Squares
14.3.2.
Nonlinear Least Squares
14.3.3.
Polynomial Fitting
14.3.4.
Robust Fitting
14.4.
Interpolation and Approximation
14.4.1.
Polynomial Interpolation
14.4.2.
Spline Interpolation
14.4.3.
Rational Function Approximation
14.4.4.
Trigonometric Interpolation
14.5.
Fourier Analysis
14.5.1.
Discrete Fourier Transform
14.5.2.
Fast Fourier Transform
14.5.3.
Power Spectral Density
14.5.4.
Windowing Functions
14.5.5.
Filtering
14.6.
Visualization Techniques
14.6.1.
2D Plotting
14.6.2.
3D Visualization
14.6.3.
Contour Plots
14.6.4.
Vector Field Plots
14.6.5.
Animation
14.6.6.
Interactive Visualization
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15. Applications in Classical Mechanics