December 2017
Intermediate to advanced
386 pages
10h 42m
English
Content preview from SciPy Recipes
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Calculating the QR decomposition of a matrix
Similar to the LU decomposition, QR decomposition is the decomposition of an original matrix into its constituent parts.
In this particular case, the matrix A = QR, where Q is an orthogonal matrix and R is an upper triangular matrix.
Before getting into further details, let us look into the properties of an orthogonal matrix:
- It is a square matrix
- Multiplying Q with its transpose results in an identity matrix
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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.