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