Iterative Methods for Computing Eigenvalues and Eigenvectors
The QR decomposition of a matrix A is the representation of A as a product A = QR; where Q is an orthogonal matrix and R is an upper triangular matrix with positive diagonal entries. ... 1 The simplest method for computing a QR factorization of a matrix A is to apply the Gram-Schmidt algorithm on the
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