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 |

f08ysc | Computes the generalized singular value decomposition of a complex upper triangular (or trapezoidal) matrix pair |

f12fbc | Selected eigenvalues and, optionally, eigenvectors of a real symmetric sparse eigenproblem, reverse communication |

f12fcc | Selected eigenvalues and, optionally, eigenvectors of a real symmetric sparse eigenproblem, postprocessing for f12fbc |

© The Numerical Algorithms Group Ltd, Oxford UK. 2012