Shandy Sulen shandysulen
shandysulen
/ gs.py
Created
December 4, 2018 05:31
The following Gram-Schmidt orthogonalization procedure implementation is modified to use the city-block or manhattan-distance metric (instead of the typical Euclidean distance metric) so as to preserve the nature of any rational vectors input into the function.
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| import numpy as np | |
| np.seterr(divide='ignore', invalid='ignore') | |
| from numpy import linalg | |
| from functools import reduce | |
| from matplotlib import pyplot as plt | |
| import matplotlib.image as mpimg | |
| import urllib.request | |
| def norm1(v): | |
| """ |