
| A00ACF | Check availability of a valid licence key |
| E04NPF | Initialization routine for E04NQF |
| E04NQF | LP or QP problem (suitable for sparse problems) |
| E04NRF | Supply optional parameter values for E04NQF from external file |
| E04NSF | Set a single option for E04NQF from a character string |
| E04NTF | Set a single option for E04NQF from an INTEGER argument |
| E04NUF | Set a single option for E04NQF from a double precision argument |
| E04NXF | Get the setting of an INTEGER valued option of E04NQF |
| E04NYF | Get the setting of a double precision valued option of E04NQF |
| E04VGF | Initialization routine for E04VHF |
| E04VHF | General sparse nonlinear optimizer |
| E04VJF | Determine the pattern of nonzeros in the Jacobian matrix for E04VHF |
| E04VKF | Supply optional parameter values for E04VHF from external file |
| E04VLF | Set a single option for E04VHF from a character string |
| E04VMF | Set a single option for E04VHF from an INTEGER argument |
| E04VNF | Set a single option for E04VHF from a double precision argument |
| E04VRF | Get the setting of an INTEGER valued option of E04VHF |
| E04VSF | Get the setting of a double precision valued option of E04VHF |
| E04WCF | Initialization routine for E04WDF |
| E04WDF | Solves the nonlinear programming (NP) problem |
| E04WEF | Supply optional parameter values for E04WDF from external file |
| E04WFF | Set a single option for E04WDF from a character string |
| E04WGF | Set a single option for E04WDF from an INTEGER argument |
| E04WHF | Set a single option for E04WDF from a double precision argument |
| E04WJF | Determine whether an E04WDF option has been set or not |
| E04WKF | Get the setting of an INTEGER valued option of E04WDF |
| E04WLF | Get the setting of a double precision valued option of E04WDF |
| F04BAF | Computes the solution and error-bound to a real system of linear equations |
| F04BBF | Computes the solution and error-bound to a real banded system of linear equations |
| F04BCF | Computes the solution and error-bound to a real tridiagonal system of linear equations |
| F04BDF | Computes the solution and error-bound to a real symmetric positive-definite system of linear equations |
| F04BEF | Computes the solution and error-bound to a real symmetric positive-definite system of linear equations (stored in packed format) |
| F04BFF | Computes the solution and error-bound to a real symmetric positive-definite banded system of linear equations |
| F04BGF | Computes the solution and error-bound to a real symmetric positive-definite tridiagonal system of linear equations |
| F04BHF | Computes the solution and error-bound to a real symmetric system of linear equations |
| F04BJF | Computes the solution and error-bound to a real symmetric system of linear equations (stored in packed format) |
| F04CAF | Computes the solution and error-bound to a complex system of linear equations |
| F04CBF | Computes the solution and error-bound to a complex banded system of linear equations |
| F04CCF | Computes the solution and error-bound to a complex tridiagonal system of linear equations |
| F04CDF | Computes the solution and error-bound to a complex Hermitian positive-definite system of linear equations |
| F04CEF | Computes the solution and error-bound to a complex Hermitian positive-definite system of linear equations (stored in packed format) |
| F04CFF | Computes the solution and error-bound to a complex Hermitian positive-definite banded system of linear equations |
| F04CGF | Computes the solution and error-bound to a complex Hermitian positive-definite tridiagonal system of linear equations |
| F04CHF | Computes the solution and error-bound to a complex Hermitian system of linear equations |
| F04CJF | Computes the solution and error-bound to a complex Hermitian system of linear equations (stored in packed format) |
| F04DHF | Computes the solution and error-bound to a complex symmetric system of linear equations |
| F04DJF | Computes the solution and error-bound to a complex symmetric system of linear equations (stored in packed format). |
| F06FEF | Multiply real vector by reciprocal of scalar |
| F06KEF | Multiply complex vector by reciprocal of real scalar |
| F06RNF | 1-norm, ∞-norm, Frobenius norm, largest absolute element, real tridiagonal matrix |
| F06RPF | 1-norm, ∞-norm, Frobenius norm, largest absolute element, real symmetric tridiagonal matrix |
| F06TAF | Matrix-vector product, complex symmetric matrix |
| F06TBF | Rank-1 update, complex symetric matrix |
| F06TCF | Matrix-vector product, complex symmetric packed matrix |
| F06TDF | Rank-1 update, complex symetric packed matrix |
| F06UNF | 1-norm, ∞-norm, Frobenius norm, largest absolute element, complex tridiagonal matrix |
| F06UPF | 1-norm, ∞-norm, Frobenius norm, largest absolute element, complex Hermitian tridiagonal matrix |
| F07AAF | Computes the solution to a real system of linear equations |
| F07ABF | Uses the LU factorization to compute the solution, error-bound and condition estimate for a real system of linear equations |
| F07ANF | Computes the solution to a complex system of linear equations |
| F07APF | Uses the LU factorization to compute the solution, error-bound and condition estimate for a complex system of linear equations |
| F07BAF | Computes the solution to a real banded system of linear equations |
| F07BBF | Uses the LU factorization to compute the solution, error-bound and condition estimate for a real banded system of linear equations |
| F07BNF | Computes the solution to a complex banded system of linear equations |
| F07BPF | Uses the LU factorization to compute the solution, error-bound and condition estimate for a complex banded system of linear equations |
| F07CAF | Computes the solution to a real tridiagonal system of linear equations |
| F07CBF | Uses the LU factorization to compute the solution, error-bound and condition estimate for a real tridiagonal system of linear equations |
| F07CNF | Computes the solution to a complex tridiagonal system of linear equations |
| F07CPF | Uses the LU factorization to compute the solution, error-bound and condition estimate for a complex tridiagonal system of linear equations |
| F07FAF | Computes the solution to a real symmetric positive-definite system of linear equations |
| F07FBF | Uses the Cholesky factorization to compute the solution, error-bound and condition estimate for a real symmetric positive-definite system of linear equations |
| F07FNF | Computes the solution to a complex Hermitian positive-definite system of linear equations |
| F07FPF | Uses the Cholesky factorization to compute the solution, error-bound and condition estimate for a complex Hermitian positive-definite system of linear equations |
| F07GAF | Computes the solution to a real symmetric positive-definite system of linear equations (stored in packed format) |
| F07GBF | Uses the Cholesky factorization to compute the solution, error-bound and condition estimate for a real symmetric positive-definite system of linear equations (stored in packed format) |
| F07GNF | Computes the solution to a complex Hermitian positive-definite system of linear equations (stored in packed format) |
| F07GPF | Uses the Cholesky factorization to compute the solution, error-bound and condition estimate for a complex Hermitian positive-definite system of linear equations (stored in packed format) |
| F07HAF | Computes the solution to a real symmetric positive-definite banded system of linear equations (stored in packed format) |
| 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 (stored in packed format) |
| F07HNF | Computes the solution to a complex Hermitian positive-definite banded system of linear equations (stored in packed format) |
| 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 (stored in packed format) |
| F07JAF | Computes the solution to a real symmetric positive-definite tridiagonal system of linear equations |
| F07JBF | Uses the Cholesky factorization to compute the solution, error-bound and condition estimate for a real symmetric positive-definite tridiagonal system of linear equations |
| F07JNF | Computes the solution to a complex Hermitian positive-definite tridiagonal system of linear equations |
| F07JPF | Uses the Cholesky factorization to compute the solution, error-bound and condition estimate for a complex Hermitian positive-definite tridiagonal system of linear equations |
| F07MAF | Computes the solution to a real symmetric system of linear equations |
| F07MBF | Uses the diagonal pivoting factorization to compute the solution to a real symmetric system of linear equations |
| F07MNF | Computes the solution to a complex Hermitian system of linear equations |
| F07MPF | Uses the diagonal pivoting factorization to compute the solution to a complex Hermitian system of linear equations |
| F07NNF | Computes the solution to a complex symmetric system of linear equations |
| F07NPF | Uses the diagonal pivoting factorization to compute the solution to a complex symmetric system of linear equations |
| F07PAF | Computes the solution to a real symmetric system of linear equations (stored in packed format) |
| F07PBF | Uses the diagonal pivoting factorization to compute the solution to a real symmetric system of linear equations (stored in packed format) |
| F07PNF | Computes the solution to a complex Hermitian system of linear equations (stored in packed format) |
| F07PPF | Uses the diagonal pivoting factorization to compute the solution to a complex Hermitian system of linear equations (stored in packed format) |
| F07QNF | Computes the solution to a complex symmetric system of linear equations (stored in packed format) |
| F07QPF | Uses the diagonal pivoting factorization to compute the solution to a complex symmetric system of linear equations (stored in packed format) |
| F08AAF | Solves an overdetermined or underdetermined real linear system |
| F08ANF | Solves an overdetermined or underdetermined complex linear system |
| F08BAF | Computes the minimum-norm solution to a real linear least-squares problem |
| F08BNF | Computes the minimum-norm solution to a complex linear least-squares problem |
| F08FAF | Computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix |
| F08FBF | Computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix |
| F08FDF | Computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix (divide-and-conquer) |
| F08FNF | Computes all eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix |
| F08FPF | Computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix |
| F08FRF | Computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix (divide-and-conquer) |
| F08GAF | Computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix (stored in packed format) |
| F08GBF | Computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix (stored in packed format) |
| F08GNF | Computes all eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix (stored in packed format) |
| F08GPF | Computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix (stored in packed format) |
| F08HAF | Computes all eigenvalues and, optionally, eigenvectors of a real symmetric band matrix |
| F08HBF | Computes selected eigenvalues and, optionally, eigenvectors of a real symmetric band matrix |
| F08HNF | Computes all eigenvalues and, optionally, eigenvectors of a complex Hermitian band matrix |
| F08HPF | Computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian band matrix |
| F08JAF | Computes all eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix |
| F08JBF | Computes selected eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix |
| F08JDF | Computes selected eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix (Relatively Robust representations). |
| 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) |
| 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) |
| F08NAF | Computes all eigenvalues and, optionally, left and/or right eigenvectors of a real nonsymmetric matrix |
| F08NBF | Computes all eigenvalues and, optionally, left and/or right eigenvectors of a real nonsymmetric matrix; also, optionally, the balancing transformation, the reciprocal condition numbers for the eigenvalues and for the right eigenvectors |
| F08NNF | Computes all eigenvalues and, optionally, left and/or right eigenvectors of a complex nonsymmetric matrix |
| F08NPF | Computes all eigenvalues and, optionally, left and/or right eigenvectors of a complex nonsymmetric matrix; also, optionally, the balancing transformation, the reciprocal condition numbers for the eigenvalues and for the right eigenvectors |
| F08PAF | Computes for real square nonsymmetric matrix, the eigenvalues, the real Schur form, and, optionally, the matrix of Schur vectors |
| F08PBF | Computes for real square nonsymmetric matrix, the eigenvalues, the real Schur form, and, optionally, the matrix of Schur vectors; also, optionally, computes reciprocal condition numbers for selected eigenvalues |
| F08PNF | Computes for complex square nonsymmetric matrix, the eigenvalues, the Schur form, and, optionally, the matrix of Schur vectors |
| F08PPF | Computes for real square nonsymmetric matrix, the eigenvalues, the Schur form, and, optionally, the matrix of Schur vectors; also, optionally, computes reciprocal condition numbers for selected eigenvalues |
| F08SAF | Computes all the eigenvalues, and optionally, the eigenvectors of a real generalized symmetric-definite eigenproblem |
| F08SBF | Computes selected eigenvalues, and optionally, the eigenvectors of a real generalized symmetric-definite eigenproblem |
| F08SCF | Computes all the eigenvalues, and optionally, the eigenvectors of a real generalized symmetric-definite eigenproblem (divide-and-conquer) |
| F08SNF | Computes all the eigenvalues, and optionally, the eigenvectors of a complex generalized Hermitian-definite eigenproblem |
| F08SPF | Computes selected eigenvalues, and optionally, the eigenvectors of a complex generalized Hermitian-definite eigenproblem |
| F08SQF | Computes all the eigenvalues, and optionally, the eigenvectors of a complex generalized Hermitian-definite eigenproblem (divide-and-conquer) |
| F08TAF | Computes all the eigenvalues, and optionally, the eigenvectors of a real generalized symmetric-definite eigenproblem (packed storage format) |
| F08TBF | Computes selected eigenvalues, and optionally, the eigenvectors of a real generalized symmetric-definite eigenproblem (packed storage format) |
| F08TCF | Computes all the eigenvalues, and optionally, the eigenvectors of a real generalized symmetric-definite eigenproblem (packed storage format, divide-and-conquer) |
| F08TNF | Computes all the eigenvalues, and optionally, the eigenvectors of a complex generalized Hermitian-definite eigenproblem (packed storage format) |
| F08TPF | Computes selected eigenvalues, and optionally, the eigenvectors of a complex generalized Hermitian-definite eigenproblem (packed storage format) |
| F08TQF | Computes selected eigenvalues, and optionally, the eigenvectors of a complex generalized Hermitian-definite eigenproblem (packed storage format, divide-and-conquer) |
| F08UAF | Computes all the eigenvalues, and optionally, the eigenvectors of a real banded generalized symmetric-definite eigenproblem |
| F08UBF | Computes selected eigenvalues, and optionally, the eigenvectors of a real banded generalized symmetric-definite eigenproblem |
| F08UCF | Computes all the eigenvalues, and optionally, the eigenvectors of a real banded generalized symmetric-definite eigenproblem (divide-and-conquer) |
| F08UNF | Computes all the eigenvalues, and optionally, the eigenvectors of a complex banded generalized Hermitian-definite eigenproblem |
| F08UPF | Computes selected eigenvalues, and optionally, the eigenvectors of a complex banded generalized Hermitian-definite eigenproblem |
| F08UQF | Computes all the eigenvalues, and optionally, the eigenvectors of a complex banded generalized Hermitian-definite eigenproblem (divide-and-conquer) |
| F08VAF | Computes the generalized singular value decomposition of a real matrix pair |
| F08VNF | Computes the generalized singular value decomposition of a complex matrix pair |
| F08WAF | Computes, for a real nonsymmetric matrix pair, the generalized eigenvalues, and optionally, the left and/or right generalized eigenvectors |
| F08WBF | Computes, for a real nonsymmetric matrix pair, the generalized eigenvalues, and optionally, the left and/or right generalized eigenvectors; also, optionally, the balancing transformation, the reciprocal condition numbers for the eigenvalues and for the right eigenvectors |
| F08WNF | Computes, for a complex nonsymmetric matrix pair, the generalized eigenvalues, and optionally, the left and/or right generalized eigenvectors |
| F08WPF | Computes, for a complex nonsymmetric matrix pair, the generalized eigenvalues, and optionally, the left and/or right generalized eigenvectors; also, optionally, the balancing transformation, the reciprocal condition numbers for the eigenvalues and for the right eigenvectors |
| F08XAF | Computes, for a real nonsymmetric matrix pair, the generalized eigenvalues, the generalized real Schur form and, optionally, the left and/or right matrices of Schur vectors |
| F08XBF | Computes, for a real nonsymmetric matrix pair, the generalized eigenvalues, the generalized real Schur form and, optionally, the left and/or right matrices of Schur vectors; also, optionally, computes reciprocal condition numbers for selected eigenvalues |
| F08XNF | Computes, for a complex nonsymmetric matrix pair, the generalized eigenvalues, the generalized complex Schur form and, optionally, the left and/or right matrices of Schur vectors |
| F08XPF | Computes, for a complex nonsymmetric matrix pair, the generalized eigenvalues, the generalized complex Schur form and, optionally, the left and/or right matrices of Schur vectors; also, optionally, computes reciprocal condition numbers for selected eigenvalues |
| F08ZAF | Solves the real linear equality-constrained least-squares (LSE) problem |
| F08ZBF | Solves a real general Gauss–Markov linear model (GLM) problem |
| F08ZNF | Solves the complex linear equality-constrained least-squares (LSE) problem |
| F08ZPF | Solves a complex general Gauss–Markov linear model (GLM) problem |
| F11MDF | Real sparse nonsymmetric linear systems, setup for F11MEF |
| F11MEF | LU factorization of real sparse matrix |
| F11MFF | Solution of real sparse simultaneous linear equations (coefficient matrix already factorized) |
| F11MGF | Estimate condition number of real matrix, matrix already factorized by F11MEF |
| F11MHF | Refined solution with error bounds of real system of linear equations, multiple right-hand sides |
| F11MKF | Real sparse nonsymmetric matrix matrix multiply, compressed column storage |
| F11MLF | 1-norm, ∞-norm, largest absolute element, real general matrix |
| F11MMF | Real sparse nonsymmetric linear systems, diagnostic for F11MEF |
| F12AAF | Initialization routine for (F12ABF) computing selected eigenvalues and, optionally, eigenvectors of a real nonsymmetric sparse (standard or generalized) eigenproblem |
| F12ABF | Implements a reverse communication interface for the Implicitly Restarted Arnoldi iteration for computing selected eigenvalues and, optionally, eigenvectors of a real nonsymmetric sparse (standard or generalized) eigenproblem |
| F12ACF | Returns the converged approximations (as determined by F12ABF) to eigenvalues of a real nonsymmetric sparse (standard or generalized) eigenproblem and, optionally, the corresponding approximate eigenvectors and/or an orthonormal basis for the associated approximate invariant subspace |
| F12ADF | Set a single option from a string (F12ABF/F12ACF/F12AGF) |
| F12AEF | Provides monitoring information for F12ABF |
| F12AFF | Initialization routine for (F12AGF) computing selected eigenvalues and, optionally, eigenvectors of a real nonsymmetric banded (standard or generalized) eigenproblem |
| F12AGF | Computes approximations to selected eigenvalues of a real nonsymmetric banded (standard or generalized) eigenproblem and, optionally, the corresponding approximate eigenvectors and/or an orthonormal basis for the associated approximate invariant subspace |
| F12ANF | Initialization routine for (F12APF) computing selected eigenvalues and, optionally, eigenvectors of a complex sparse (standard or generalized) eigenproblem |
| F12APF | Implements a reverse communication interface for the Implicitly Restarted Arnoldi iteration for computing selected eigenvalues and, optionally, eigenvectors of a complex sparse (standard or generalized) eigenproblem |
| F12AQF | Returns the converged approximations (as determined by F12ABF) to eigenvalues of a complex sparse (standard or generalized) eigenproblem and, optionally, the corresponding approximate eigenvectors and/or an orthonormal basis for the associated approximate invariant subspace |
| F12ARF | Set a single option from a string (F12APF/F12AQF) |
| F12ASF | Provides monitoring information for F12APF |
| F12FAF | Initialization routine for (F12FBF) computing selected eigenvalues and, optionally, eigenvectors of a real symmetric sparse (standard or generalized) eigenproblem |
| F12FBF | Implements a reverse communication interface for the Implicitly Restarted Arnoldi iteration for computing selected eigenvalues and, optionally, eigenvectors of a real symmetric sparse (standard or generalized) eigenproblem |
| F12FCF | Returns the converged approximations (as determined by F12ABF) to eigenvalues of a real symmetric sparse (standard or generalized) eigenproblem and, optionally, the corresponding approximate eigenvectors and/or an orthonormal basis for the associated approximate invariant subspace |
| F12FDF | Set a single option from a string (F12FBF/F12FCF/F12FGF) |
| F12FEF | Provides monitoring information for F12FBF |
| F12FFF | Initialization routine for (F12FGF) computing selected eigenvalues and, optionally, eigenvectors of a real symmetric banded (standard or generalized) eigenproblem |
| F12FGF | Computes approximations to selected eigenvalues of a real symmetric banded (standard or generalized) eigenproblem and, optionally, the corresponding approximate eigenvectors and/or an orthonormal basis for the associated approximate invariant subspace |
| G01ETF | Landau distribution function Φ (λ) |
| G01EUF | Vavilov distribution function ΦV(λ;κ,β2) |
| G01FTF | Landau inverse function Ψ(x) |
| G01MTF | Landau density function φ (λ) |
| G01MUF | Vavilov density function φV (λ;κ,β2) |
| G01PTF | Landau first moment function Φ1(x) |
| G01QTF | Landau second moment function Φ2(x) |
| G01RTF | Landau derivative function φ′(λ) |
| G01ZUF | Initialization routine for G01MUF and G01EUF |
| G02EFF | Stepwise linear regression |
| G02JAF | Linear mixed effects regression using Restricted Maximum Likelihood (REML) |
| G02JBF | Linear mixed effects regression using Maximum Likelihood (ML) |
| G05LXF | Generates a matrix of random numbers from a multivariate Student's t-distribution, seeds and generator passed explicitly |
| G05LYF | Generates a matrix of random numbers from a multivariate Normal distribution, seeds and generator passed explicitly |
| G05RAF | Generates a matrix of random numbers from a Gaussian Copula, seeds and generator passed explicitly |
| G05RBF | Generates a matrix of random numbers from a Student's t-Copula, seeds and generator passed explicitly |
| G05YCF | Initializes the Faure generator (G05YDF/G05YJF/G05YKF) |
| G05YDF | Generates a sequence of quasi-random numbers using Faure's method |
| G05YEF | Initializes the Sobol generator (G05YFF/G05YJF/G05YKF) |
| G05YFF | Generates a sequence of quasi-random numbers using Sobol's method |
| G05YGF | Initializes the Neiderreiter generator (G05YHF/G05YJF/G05YKF) |
| G05YHF | Generates a sequence of quasi-random numbers using Neiderreiter's method |
| G05YJF | Generates a Normal quasi-random number sequence using Faure's, Sobol's or Neiderreiter's method |
| G05YKF | Generates a log-Normal quasi-random number sequence using Faure's, Sobol's or Neiderreiter's method |
| S14AGF | Logarithm of the Gamma function lnΓ(z) |
| S18GKF | Bessel function of the 1st kind Jα±n(z) |
| Routine Scheduled for Withdrawal |
Replacement Routine(s) |
| E04UNF | E04USF/E04USA |
| F11GAF | F11GDF |
| F11GBF | F11GEF |
| F11GCF | F11GFF |
| G05CAF | G05KAF |
| G05CBF | G05KBF |
| G05CCF | G05KCF |
| G05CFF | F06DFF |
| G05CGF | F06DFF |
| G05DAF | G05LGF |
| G05DBF | G05LJF |
| G05DCF | G05LNF |
| G05DDF | G05LAF |
| G05DEF | G05LKF |
| G05DFF | G05LLF |
| G05DHF | G05LCF |
| G05DJF | G05LBF |
| G05DKF | G05LDF |
| G05DPF | G05LMF |
| G05DRF | G05MEF |
| G05DYF | G05MAF |
| G05DZF | G05KEF |
| G05EAF | G05LZF |
| G05EBF | G05MAF |
| G05ECF | G05MKF |
| G05EDF | G05MJF |
| G05EEF | G05MCF |
| G05EFF | G05MLF |
| G05EGF | G05PAF |
| G05EHF | G05NAF |
| G05EJF | G05NBF |
| G05EWF | G05PAF |
| G05EXF | G05MZF |
| G05EYF | G05MZF |
| G05EZF | G05LZF |
| G05FAF | G05LGF |
| G05FBF | G05LJF |
| G05FDF | G05LAF |
| G05FEF | G05LEF |
| G05FFF | G05LFF |
| G05FSF | G05LPF |
| G05GAF | G05QAF |
| G05GBF | G05QBF |
| G05HDF | G05PCF |
| G05ZAF | No replacement document required |