
The paper presents an algorithm to compute the singular values and the singular vectors of a square bidiagonal matrix. This algorithm uses the differential form of the generalized Givens transformation to compute the orthogonal \(qd\)-steps, and two different shift strategies based on Newton's and Laguerre's methods to compute the zeros of a polynomial. Finally, some numerical results are given.
Numerical computation of eigenvalues and eigenvectors of matrices, Numerical solutions to overdetermined systems, pseudoinverses, orthogonal qd-algorithm, singular value decomposition, generalized Givens transformation, Laguerre's method
Numerical computation of eigenvalues and eigenvectors of matrices, Numerical solutions to overdetermined systems, pseudoinverses, orthogonal qd-algorithm, singular value decomposition, generalized Givens transformation, Laguerre's method
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