Scientific Computing I

Scientific Computing I

Steve Spicklemire via YouTube Direct link

Heun Method (fixed audio)

3 of 22

3 of 22

Heun Method (fixed audio)

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Classroom Contents

Scientific Computing I

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  1. 1 Euler Method (with python notebooks)
  2. 2 PH 280/Project 1
  3. 3 Heun Method (fixed audio)
  4. 4 TaylorSeries: Approximating the Morse Potential
  5. 5 pylab sympy together
  6. 6 RK4 and Symplectic Methods of Integration
  7. 7 Monte Carlo: Demon Algorithm
  8. 8 The Drunken Sailor Problem with Numpy/Jupyter Notebook. (fixed!)
  9. 9 matrix methods: Optics with matrices
  10. 10 Power Laws and Fitting Data with Matrices
  11. 11 Numerical Integration: Large Amplitude Pendulum
  12. 12 Root Finding: Energy Eigenstates
  13. 13 Coupled Oscillators
  14. 14 Project 12, The Perceptron: Intro to Supervised Machine Learning
  15. 15 FFT Fun: Complex Numbers, Discrete Fourier Transforms
  16. 16 Taylor Series in Scientific Computing
  17. 17 Geometrical Optics
  18. 18 Fitting Pendulum data with curve_fit
  19. 19 Stochastic matrix as an Eigenvector application
  20. 20 Coupled Oscillators as an application of Eigenvectors
  21. 21 Fourier Series with basis functions
  22. 22 Google Colab Setup

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