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Iterative Methods for Computing Eigenvalues and Eigenvectors

Iterative Methods for Computing Eigenvalues and Eigenvectors

mathreview.uwaterloo.ca

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

  Decomposition, Gram, Schmidt, Eigenvalue, Qr decomposition

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