| C06EKF | Circular convolution or correlation of two real vectors, no extra workspace |
| C06FKF | Circular convolution or correlation of two real vectors, extra workspace for greater speed |
| C06PKF | Circular convolution or correlation of two complex vectors |
| D01ATF | One-dimensional quadrature, adaptive, finite interval, variant of D01AJF efficient on vector machines |
| D01AUF | One-dimensional quadrature, adaptive, finite interval, variant of D01AKF efficient on vector machines |
| D01GDF | Multidimensional quadrature, general product region, number-theoretic method, variant of D01GCF efficient on vector machines |
| E02DEF | Evaluation of fitted bicubic spline at a vector of points |
| F05AAF | Gram–Schmidt orthogonalisation of n vectors of order m |
| F06DBF | Broadcast scalar into integer vector |
| F06DFF | Copy integer vector |
| F06EAF | Dot product of two real vectors |
| F06ECF | Add scalar times real vector to real vector |
| F06EDF | Multiply real vector by scalar |
| F06EFF | Copy real vector |
| F06EGF | Swap two real vectors |
| F06EJF | Compute Euclidean norm of real vector |
| F06EKF | Sum absolute values of real vector elements |
| F06ERF | Dot product of two real sparse vectors |
| F06ETF | Add scalar times real sparse vector to real sparse vector |
| F06EUF | Gather real sparse vector |
| F06EVF | Gather and set to zero real sparse vector |
| F06EWF | Scatter real sparse vector |
| F06EXF | Apply plane rotation to two real sparse vectors |
| F06FAF | Compute cosine of angle between two real vectors |
| F06FBF | Broadcast scalar into real vector |
| F06FCF | Multiply real vector by diagonal matrix |
| F06FDF | Multiply real vector by scalar, preserving input vector |
| F06FEF | Multiply real vector by reciprocal of scalar |
| F06FGF | Negate real vector |
| F06FJF | Update Euclidean norm of real vector in scaled form |
| F06FKF | Compute weighted Euclidean norm of real vector |
| F06FLF | Elements of real vector with largest and smallest absolute value |
| F06FPF | Apply real symmetric plane rotation to two vectors |
| F06GAF | Dot product of two complex vectors, unconjugated |
| F06GBF | Dot product of two complex vectors, conjugated |
| F06GCF | Add scalar times complex vector to complex vector |
| F06GDF | Multiply complex vector by complex scalar |
| F06GFF | Copy complex vector |
| F06GGF | Swap two complex vectors |
| F06GRF | Dot product of two complex sparse vectors, unconjugated |
| F06GSF | Dot product of two complex sparse vectors, conjugated |
| F06GTF | Add scalar times complex sparse vector to complex sparse vector |
| F06GUF | Gather complex sparse vector |
| F06GVF | Gather and set to zero complex sparse vector |
| F06GWF | Scatter complex sparse vector |
| F06HBF | Broadcast scalar into complex vector |
| F06HCF | Multiply complex vector by complex diagonal matrix |
| F06HDF | Multiply complex vector by complex scalar, preserving input vector |
| F06HGF | Negate complex vector |
| F06JDF | Multiply complex vector by real scalar |
| F06JJF | Compute Euclidean norm of complex vector |
| F06JKF | Sum absolute values of complex vector elements |
| F06JLF | Index, real vector element with largest absolute value |
| F06JMF | Index, complex vector element with largest absolute value |
| F06KCF | Multiply complex vector by real diagonal matrix |
| F06KDF | Multiply complex vector by real scalar, preserving input vector |
| F06KEF | Multiply complex vector by reciprocal of real scalar |
| F06KFF | Copy real vector to complex vector |
| F06KJF | Update Euclidean norm of complex vector in scaled form |
| F06KLF | Last non-negligible element of real vector |
| F06KPF | Apply real plane rotation to two complex vectors |
| F06PAF | Matrix-vector product, real rectangular matrix |
| F06PBF | Matrix-vector product, real rectangular band matrix |
| F06PCF | Matrix-vector product, real symmetric matrix |
| F06PDF | Matrix-vector product, real symmetric band matrix |
| F06PEF | Matrix-vector product, real symmetric packed matrix |
| F06PFF | Matrix-vector product, real triangular matrix |
| F06PGF | Matrix-vector product, real triangular band matrix |
| F06PHF | Matrix-vector product, real triangular packed matrix |
| F06SAF | Matrix-vector product, complex rectangular matrix |
| F06SBF | Matrix-vector product, complex rectangular band matrix |
| F06SCF | Matrix-vector product, complex Hermitian matrix |
| F06SDF | Matrix-vector product, complex Hermitian band matrix |
| F06SEF | Matrix-vector product, complex Hermitian packed matrix |
| F06SFF | Matrix-vector product, complex triangular matrix |
| F06SGF | Matrix-vector product, complex triangular band matrix |
| F06SHF | Matrix-vector product, complex triangular packed matrix |
| F06SMF | Rank-1 update, complex rectangular matrix, unconjugated vector |
| F06SNF | Rank-1 update, complex rectangular matrix, conjugated vector |
| F06TAF | Matrix-vector product, complex symmetric matrix |
| F06TCF | Matrix-vector product, complex symmetric packed matrix |
| F08KPF | Computes the singular value decomposition of a complex matrix, optionally computing the left and/or right singular vectors |
| F08KRF | Computes the singular value decomposition of a complex matrix, optionally computing the left and/or right singular vectors (divide-and-conquer) |
| 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 |
| 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 |
| F11XAF | Real sparse nonsymmetric matrix vector multiply |
| F11XEF | Real sparse symmetric matrix vector multiply |
| F11XNF | Complex sparse non-Hermitian matrix vector multiply |
| F11XSF | Complex sparse Hermitian matrix vector multiply |
| F16DLF | Sum elements of integer vector |
| F16DNF | Maximum value and location, integer vector |
| F16DPF | Minimum value and location, integer vector |
| F16DQF | Maximum absolute value and location, integer vector |
| F16DRF | Minimum absolute value and location, integer vector |
| F16EHF | Real scaled vector addition preserving input |
| F16ELF | Sum elements of real vector |
| F16GHF | Complex scaled vector addition preserving input |
| F16GLF | Sum elements of complex vector |
| F16JNF | Maximum value and location, real vector |
| F16JPF | Minimum value and location, real vector |
| F16JQF | Maximum absolute value and location, real vector |
| F16JRF | Minimum absolute value and location, real vector |
| F16JSF | Maximum absolute value and location, complex vector |
| F16JTF | Minimum absolute value and location, complex vector |
| G01AMF | Find quantiles of an unordered vector, real numbers |
| G02CEF | Service routine for multiple linear regression, select elements from vectors and matrices |
| G02CFF | Service routine for multiple linear regression, re-order elements of vectors and matrices |
| G13DXF | Calculates the zeros of a vector autoregressive (or moving average) operator |
| M01CAF | Sort a vector, real numbers |
| M01CBF | Sort a vector, integer numbers |
| M01CCF | Sort a vector, character data |
| M01DAF | Rank a vector, real numbers |
| M01DBF | Rank a vector, integer numbers |
| M01DCF | Rank a vector, character data |
| M01EAF | Rearrange a vector according to given ranks, real numbers |
| M01EBF | Rearrange a vector according to given ranks, integer numbers |
| M01ECF | Rearrange a vector according to given ranks, character data |
| M01EDF | Rearrange a vector according to given ranks, complex numbers |
| M01NAF | Binary search in set of real numbers |
| M01NBF | Binary search in set of integer numbers |
| M01NCF | Binary search in set of character data |