Jupyter notebooks and other materials developed for the Columbia course APMA 4300
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data
images
.gitignore
.travis.yml
00_intro_numerical_methods.ipynb
01_intro_to_python.ipynb
02_NumPy.ipynb
03_matplotlib.ipynb
04_error.ipynb
05_root_finding_optimization.ipynb
06_interpolation.ipynb
07_differentiation.ipynb
08_quadrature.ipynb
09_ODE_ivp_part1.ipynb
09_ODE_ivp_part2.ipynb
10.1_SVD.ipynb
10_LA_intro.ipynb
11_LA_QR.ipynb
12_LA_conditioning_stability.ipynb
13_LA_eigen.ipynb
14_LA_iterative.ipynb
15_LA_gaussian.ipynb
16_ODE_BVP.ipynb
LICENSE
README.md
peer_review.ipynb
requirements.txt
style.css
test.py

README.md