D Index Page
Keyword Index for the NAG C Library Manual
NAG C Library Manual

Keyword : Decomposition

f02wec   SVD of real matrix
f02wgc   Computes leading terms in the singular value decomposition of a real general matrix; also computes corresponding left and right singular vectors
f02xec   SVD of complex matrix
f08kac   Computes the minimum-norm solution to a real linear least squares problem using singular value decomposition
f08kbc   Computes the singular value decomposition of a real matrix, optionally computing the left and/or right singular vectors
f08kcc   Computes the minimum-norm solution to a real linear least squares problem using singular value decomposition (divide-and-conquer)
f08kdc   Computes the singular value decomposition of a real matrix, optionally computing the left and/or right singular vectors (divide-and-conquer)
f08khc   Computes the singular value decomposition of a real matrix, optionally computing the left and/or right singular vectors (preconditioned Jacobi)
f08kjc   Computes the singular value decomposition of a real matrix, optionally computing the left and/or right singular vectors (fast Jacobi)
f08knc   Computes the minimum-norm solution to a complex linear least squares problem using singular value decomposition
f08kpc   Computes the singular value decomposition of a complex matrix, optionally computing the left and/or right singular vectors
f08kqc   Computes the minimum-norm solution to a complex linear least squares problem using singular value decomposition (divide-and-conquer)
f08krc   Computes the singular value decomposition of a complex matrix, optionally computing the left and/or right singular vectors (divide-and-conquer)
f08mdc   Computes the singular value decomposition of a real bidiagonal matrix, optionally computing the singular vectors (divide-and-conquer)
f08mec   SVD of real bidiagonal matrix reduced from real general matrix
f08msc   SVD of real bidiagonal matrix reduced from complex general matrix
f08vac   Computes the generalized singular value decomposition of a real matrix pair
f08vec   Computes orthogonal matrices as processing steps for computing the generalized singular value decomposition of a real matrix pair
f08vnc   Computes the generalized singular value decomposition of a complex matrix pair
f08vsc   Computes orthogonal matrices as processing steps for computing the generalized singular value decomposition of a complex matrix pair
f08yec   Computes the generalized singular value decomposition of a real upper triangular (or trapezoidal) matrix pair
f08yfc   Reorders the generalized real Schur decomposition of a real matrix pair using an orthogonal equivalence transformation
f08ygc   Reorders the generalized real Schur decomposition of a real matrix pair using an orthogonal equivalence transformation, computes the generalized eigenvalues of the reordered pair and, optionally, computes the estimates of reciprocal condition numbers for eigenvalues and eigenspaces
f08ysc   Computes the generalized singular value decomposition of a complex upper triangular (or trapezoidal) matrix pair
f08ytc   Reorders the generalized Schur decomposition of a complex matrix pair using an unitary equivalence transformation
f08yuc   Reorders the generalized Schur decomposition of a complex matrix pair using an unitary equivalence transformation, computes the generalized eigenvalues of the reordered pair and, optionally, computes the estimates of reciprocal condition numbers for eigenvalues and eigenspaces

D Index Page
Keyword Index for the NAG C Library Manual
NAG C Library Manual

© The Numerical Algorithms Group Ltd, Oxford UK. 2012