April 2019
Intermediate to advanced
426 pages
11h 13m
English
The QR decomposition, also known as the QR factorization, is another method of solving linear systems of equations using matrices, very much like the LU decomposition. The equation to solve is in the form of Ax=B, where matrix A=QR. However, in this case, A is a product of an orthogonal matrix, Q, and upper triangular matrix, R. The QR algorithm is commonly used to solve the linear least-squares problem.
An orthogonal matrix exhibits the following properties:

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