Course exercises

Numerical Methods for Physicists

Author

Kirill Bazarov, Dmitry V. Naumov

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Exercises for the lectures (drafts):

  1. Python, NumPy and Numba — in preparation
  2. Roots and quadratures — in preparation
  3. Ordinary differential equations: the pendulum — in preparation
  4. Eigenvalue problems: normal modes — in preparation
  5. Chaos and synchronization — in preparation
  6. Electrostatics: the Poisson equation and multipoles — in preparation
  7. Diffusion and random forces — in preparation
  8. Waves and the telegraph equation — in preparation
  9. Fourier analysis and the FFT — in preparation
  10. Stationary quantum mechanics — in preparation
  11. Quantum evolution and neutrino oscillations — in preparation
  12. Interpolation and approximation — in preparation
  13. Monte Carlo in statistical physics: the Ising model — in preparation
  14. Inverse problems: the reactor antineutrino spectrum and the SVD — in preparation
  15. Hydrodynamics: shock waves and vortices — in preparation
  16. The transport equation: from Boltzmann to light in water — in preparation
  17. Machine learning for differential equations — in preparation