Because

nag_zhpcon (f07puc) nag_zhpcon (f07puc) estimates the condition number of a complex Hermitian indefinite matrix A, where A has been factorized by nag_zhptrf (f07prc), using packed storage

f07 – Linear Equations (LAPACK) f07fsc

nag_zpotrs (f07fsc) nag_zpotrs (f07fsc) solves a complex Hermitian positive-definite system of linear equations with multiple right-hand sides, AX B, where A has been factorized by nag_zpotrf (f07frc)

f08 – Least-squares and Eigenvalue Problems (LAPACK) f08wwc

nag_zggbak (f08wwc) nag_zggbak (f08wwc) forms the right or left eigenvectors of the real generalized eigenvalue problem Ax Bx, by backward transformation on the computed eigenvectors given by nag_ztgevc (f08yxc). It is necessary to call this function only if the optional balancing function nag_zggbal (f08wvc) was previously called to balance the matrix pair ðA; BÞ

g12 – Survival Analysis g12zac

nag_surviv_risk_sets (g12zac) nag_surviv_risk_sets (g12zac) creates the risk sets associated with the Cox proportional hazards model for fixed covariates

1: order – Nag_OrderType Input

nag_dtrexc (f08qfc) nag_dtrexc (f08qfc) reorders the Schur factorization of a real general matrix

void nag_open_file (const char *filename, Integer mode, Nag_FileID *fileid,

nag_open_file (x04acc) nag_open_file (x04acc) opens a file for reading, writing or appending, and returns an associated file identifier

void nag_real_sparse_eigensystem_init (Integer n, Integer nev, Integer ncv,

nag_real_sparse_eigensystem_init (f12aac) is a setup function in a suite of functions consisting of nag_real_sparse_eigensystem_init (f12aac), nag_real_sparse_eigensystem_iter (f12abc), nag_real_sparse_eigensystem_sol (f12acc), nag_real_sparse_eigensystem_option (f12adc) and nag_real_sparse_eigensystem_monit (f12aec). It is used to find some of the eigenvalues (and optionally the corresponding eigenvectors) of a standard or generalized eigenvalue problem defined by real nonsymmetric matrices. The suite of functions is suitable for the solution of large sparse, standard or generalized, non-symmetric eigenproblems where only a few eigenvalues from a selected range of the spectrum are required