
In contrast to the usual (and successful) direct methods for Toeplitz systems Ax = b, we propose an algorithm based on the conjugate gradient method. The preconditioner is a circulant, so that all matrices have constant diagonals and all matrix‐vector multiplications use the Fast Fourier Transform. We also suggest a technique for the eigenvalue problem, where current methods are less satisfactory. If the first indications are supported by further experiment, this new approach may have useful applications—including nearly Toeplitz systems, and parallel computations.
Numerical computation of eigenvalues and eigenvectors of matrices, Iterative numerical methods for linear systems, Toeplitz systems, preconditioner, conjugate gradient method, Numerical computation of matrix norms, conditioning, scaling, eigenvalue problem, Toeplitz matrix, fast Fourier transform
Numerical computation of eigenvalues and eigenvectors of matrices, Iterative numerical methods for linear systems, Toeplitz systems, preconditioner, conjugate gradient method, Numerical computation of matrix norms, conditioning, scaling, eigenvalue problem, Toeplitz matrix, fast Fourier transform
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