In this section we describe how to use quadrature methods to calculate approximations of uTf (A)v (see ). The matrix A is assumed to be real symmetric and we use the spectral decomposition of A written as A = ZDZT, where Z is an orthonormal matrix whose columns are the normalized eigenvectors of A and D is a diagonal matrix whose diagonal elements are the eigenvalues λi of A, which are ordered as follows
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(1) - AFANASJEW (M.), EIERMANN (M.), ERNST (O.G.), GÜTTEL (S.) - Implementation of a restarted Krylov subspace method for the evaluation of matrix functions - Linear Algebra Appl., vol. 429, p. 2293-2314 (2008).
(2) - AL-MOHY (A.H.), HIGHAM (N.J.) - A new scaling...
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