D02ZAF
| Ordinary differential equations, initial value problem, weighted norm of local error estimate for D02M–N routines |
E04XAF
| Estimate (using numerical differentiation) gradient and/or Hessian of a function |
F07ABF
| Uses the factorization to compute the solution, error-bound and condition estimate for a real system of linear equations |
F07AGF
| Estimate condition number of real matrix, matrix already factorized by F07ADF |
F07APF
| Uses the factorization to compute the solution, error-bound and condition estimate for a complex system of linear equations |
F07AUF
| Estimate condition number of complex matrix, matrix already factorized by F07ARF |
F07BBF
| Uses the factorization to compute the solution, error-bound and condition estimate for a real banded system of linear equations |
F07BGF
| Estimate condition number of real band matrix, matrix already factorized by F07BDF |
F07BPF
| Uses the factorization to compute the solution, error-bound and condition estimate for a complex banded system of linear equations |
F07BUF
| Estimate condition number of complex band matrix, matrix already factorized by F07BRF |
F07CBF
| Uses the factorization to compute the solution, error-bound and condition estimate for a real tridiagonal system of linear equations |
F07CGF
| Estimates the reciprocal of the condition number of a real tridiagonal matrix using the factorization computed by F07CDF |
F07CPF
| Uses the factorization to compute the solution, error-bound and condition estimate for a complex tridiagonal system of linear equations |
F07CUF
| Estimates the reciprocal of the condition number of a complex tridiagonal matrix using the factorization computed by F07CDF |
F07FBF
| Uses the Cholesky factorization to compute the solution, error-bound and condition estimate for a real symmetric positive definite system of linear equations |
F07FCF
| Uses the Cholesky factorization to compute the solution for a real symmetric positive definite system of linear equations |
F07FGF
| Estimate condition number of real symmetric positive definite matrix, matrix already factorized by F07FDF |
F07FPF
| Uses the Cholesky factorization to compute the solution, error-bound and condition estimate for a complex Hermitian positive definite system of linear equations |
F07FQF
| Uses the Cholesky factorization to compute the solution for a complex Hermitian positive definite system of linear equations |
F07FUF
| Estimate condition number of complex Hermitian positive definite matrix, matrix already factorized by F07FRF |
F07GBF
| Uses the Cholesky factorization to compute the solution, error-bound and condition estimate for a real symmetric positive definite system of linear equations, packed storage |
F07GGF
| Estimate condition number of real symmetric positive definite matrix, matrix already factorized by F07GDF, packed storage |
F07GPF
| Uses the Cholesky factorization to compute the solution, error-bound and condition estimate for a complex Hermitian positive definite system of linear equations, packed storage |
F07GUF
| Estimate condition number of complex Hermitian positive definite matrix, matrix already factorized by F07GRF, packed storage |
F07HBF
| Uses the Cholesky factorization to compute the solution, error-bound and condition estimate for a real symmetric positive definite banded system of linear equations |
F07HGF
| Estimate condition number of real symmetric positive definite band matrix, matrix already factorized by F07HDF |
F07HPF
| Uses the Cholesky factorization to compute the solution, error-bound and condition estimate for a complex Hermitian positive definite banded system of linear equations |
F07HUF
| Estimate condition number of complex Hermitian positive definite band matrix, matrix already factorized by F07HRF |
F07JBF
| Uses the modified Cholesky factorization to compute the solution, error-bound and condition estimate for a real symmetric positive definite tridiagonal system of linear equations |
F07JPF
| Uses the modified Cholesky factorization to compute the solution, error-bound and condition estimate for a complex Hermitian positive definite tridiagonal system of linear equations |
F07JUF
| Computes the reciprocal of the condition number of a complex Hermitian positive definite tridiagonal system using the modified Cholesky factorization computed by F07JRF |
F07MGF
| Estimate condition number of real symmetric indefinite matrix, matrix already factorized by F07MDF |
F07MUF
| Estimate condition number of complex Hermitian indefinite matrix, matrix already factorized by F07MRF |
F07NUF
| Estimate condition number of complex symmetric matrix, matrix already factorized by F07NRF |
F07PGF
| Estimate condition number of real symmetric indefinite matrix, matrix already factorized by F07PDF, packed storage |
F07PUF
| Estimate condition number of complex Hermitian indefinite matrix, matrix already factorized by F07PRF, packed storage |
F07QUF
| Estimate condition number of complex symmetric matrix, matrix already factorized by F07QRF, packed storage |
F07TGF
| Estimate condition number of real triangular matrix |
F07TUF
| Estimate condition number of complex triangular matrix |
F07UGF
| Estimate condition number of real triangular matrix, packed storage |
F07UUF
| Estimate condition number of complex triangular matrix, packed storage |
F07VGF
| Estimate condition number of real band triangular matrix |
F07VUF
| Estimate condition number of complex band triangular matrix |
F08QGF
| Reorder Schur factorization of real matrix, form orthonormal basis of right invariant subspace for selected eigenvalues, with estimates of sensitivities |
F08QLF
| Estimates of sensitivities of selected eigenvalues and eigenvectors of real upper quasi-triangular matrix |
F08QUF
| Reorder Schur factorization of complex matrix, form orthonormal basis of right invariant subspace for selected eigenvalues, with estimates of sensitivities |
F08QYF
| Estimates of sensitivities of selected eigenvalues and eigenvectors of complex upper triangular matrix |
F08YGF
| 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 |
F08YLF
| Estimates reciprocal condition numbers for specified eigenvalues and/or eigenvectors of a real matrix pair in generalized real Schur canonical form |
F08YUF
| 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 |
F08YYF
| Estimates reciprocal condition numbers for specified eigenvalues and/or eigenvectors of a complex matrix pair in generalized Schur canonical form |
F11MGF
| Estimate condition number of real matrix, matrix already factorized by F11MEF |
G02DDF
| Estimates of linear parameters and general linear regression model from updated model |
G02DKF
| Estimates and standard errors of parameters of a general linear regression model for given constraints |
G02GKF
| Estimates and standard errors of parameters of a general linear model for given constraints |
G02HAF
| Robust regression, standard -estimates |
G03CAF
| Computes maximum likelihood estimates of the parameters of a factor analysis model, factor loadings, communalities and residual correlations |
G07BBF
| Computes maximum likelihood estimates for parameters of the Normal distribution from grouped and/or censored data |
G07BEF
| Computes maximum likelihood estimates for parameters of the Weibull distribution |
G07BFF
| Estimates parameter values of the generalized Pareto distribution |
G07DBF
| Robust estimation, -estimates for location and scale parameters, standard weight functions |
G07DCF
| Robust estimation, -estimates for location and scale parameters, user-defined weight functions |
G07DDF
| Computes a trimmed and winsorized mean of a single sample with estimates of their variance |
G10BAF
| Kernel density estimate using Gaussian kernel |
G12AAF
| Computes Kaplan–Meier (product-limit) estimates of survival probabilities |