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Computational Physics Lecture Notes by A. Godunov
Version: August 2024
01. Tools of computational physics.
02. Workflow.
03. Numbers, errors and uncertainties
03. C++: Short reference for introductory computational physics
04. Monte Carlo method: Fundamentals
04. Monte Carlo method: Integration
04. Monte Carlo method: Random Walk, optimization
05. Interpolation
06. Differentiation
07. Integration: Basics, Newton-Cotes quadrature
07. Integration: Gauss quadrature, adaptive integration
08. Nonlinear Equations
09. ODE: Fundamentals, Runge-Kutta methods
09. ODE: Secord-order ODEs, applications to particle dynamics
09. ODE: Boundary value problem, eigenvalue problem
10. Systems of linear equations
10. Eigenvalues
11. Data modeling
11. Genetic algorithm
12. PDE: Introduction, Elliptic PDEs
12. PDE: Parabolic PDEs
12. PDE: Hyperbolic PDEs
13. Parallel programming
Other notes
LaTeX in scientific writing and publishing