December 2017
Intermediate to advanced
386 pages
10h 42m
English
Content preview from SciPy Recipes
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How to do it…
QR decomposition can be done by using the qr function within scipy.linalg.
In the following code, let us look into how QR decomposition works:
- Load the relevant packages:
import scipy.linalg as linalgimport numpy as np
- Initialize a matrix:
A = np.array([ [2., 1., 1.], [1., 3., 2.], [1., 0., 0]])
- Extract the Q and R matrices of the matrix A:
Q, R = linalg.qr(A)
- Check the output values:
print(Q)[[-0.81649658 0.27602622 -0.50709255][-0.40824829 -0.89708523 0.16903085][-0.40824829 0.34503278 0.84515425]] print(R)[[-2.44948974 -2.04124145 -1.63299316][ 0. -2.41522946 -1.51814423][ 0. 0. -0.16903085]]
Once we have the results, let us look into the preceding properties mentioned.
- Multiplying Q with its transpose results ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.