S Index Page
Keyword Index for the NAG Library Manual
NAG Library Manual

Keyword : Singular

D02KDF   Second-order Sturm–Liouville problem, regular/singular system, finite/infinite range, eigenvalue only, user-specified break-points
D02KEF   Second-order Sturm–Liouville problem, regular/singular system, finite/infinite range, eigenvalue and eigenfunction, user-specified break-points
D05BDF   Nonlinear convolution Volterra–Abel equation, second kind, weakly singular
D05BEF   Nonlinear convolution Volterra–Abel equation, first kind, weakly singular
D05BYF   Generate weights for use in solving weakly singular Abel-type equations
F02WDF   QR factorization, possibly followed by SVD
F02WGF   Computes leading terms in the singular value decomposition of a real general matrix; also computes corresponding left and right singular vectors
F02WUF   SVD of real upper triangular matrix (Black Box)
F02XUF   SVD of complex upper triangular matrix (Black Box)
F08KAF   Computes the minimum-norm solution to a real linear least squares problem using singular value decomposition
F08KBF   Computes the singular value decomposition of a real matrix, optionally computing the left and/or right singular vectors
F08KCF   Computes the minimum-norm solution to a real linear least squares problem using singular value decomposition (divide-and-conquer)
F08KDF   Computes the singular value decomposition of a real matrix, optionally computing the left and/or right singular vectors (divide-and-conquer)
F08KHF   Computes the singular value decomposition of a real matrix, optionally computing the left and/or right singular vectors (preconditioned Jacobi)
F08KJF   Computes the singular value decomposition of a real matrix, optionally computing the left and/or right singular vectors (fast Jacobi)
F08KNF   Computes the minimum-norm solution to a complex linear least squares problem using singular value decomposition
F08KPF   Computes the singular value decomposition of a complex matrix, optionally computing the left and/or right singular vectors
F08KQF   Computes the minimum-norm solution to a complex linear least squares problem using singular value decomposition (divide-and-conquer)
F08KRF   Computes the singular value decomposition of a complex matrix, optionally computing the left and/or right singular vectors (divide-and-conquer)
F08MDF   Computes the singular value decomposition of a real bidiagonal matrix, optionally computing the singular vectors (divide-and-conquer)
F08MEF   SVD of real bidiagonal matrix reduced from real general matrix
F08MSF   SVD of real bidiagonal matrix reduced from complex general matrix
F08VAF   Computes the generalized singular value decomposition of a real matrix pair
F08VEF   Computes orthogonal matrices as processing steps for computing the generalized singular value decomposition of a real matrix pair
F08VNF   Computes the generalized singular value decomposition of a complex matrix pair
F08VSF   Computes orthogonal matrices as processing steps for computing the generalized singular value decomposition of a complex matrix pair
F08YEF   Computes the generalized singular value decomposition of a real upper triangular (or trapezoidal) matrix pair
F08YSF   Computes the generalized singular value decomposition of a complex upper triangular (or trapezoidal) matrix pair

S Index Page
Keyword Index for the NAG Library Manual
NAG Library Manual

© The Numerical Algorithms Group Ltd, Oxford UK. 2013