| 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 |
| D01RAF
| One-dimensional quadrature, adaptive, finite interval, multiple integrands, vectorized abscissae, reverse communication |
| E02BFF
| Evaluation of fitted cubic spline, function and optionally derivatives at a vector of points |
| E02DEF
| Evaluation of fitted bicubic spline at a vector of points |
| E02JEF
| Evaluation at a vector of points of a spline computed by E02JDF |
| F05AAF
| Gram–Schmidt orthogonalization of vectors of order |
| 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 a real sparse and a full vector |
| F06ETF
| Add scalar times real sparse vector to a full 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 a real sparse and a full vector |
| 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 a complex sparse and a full vector, unconjugated |
| F06GSF
| Dot product of a complex sparse and a full vector, conjugated |
| F06GTF
| Add scalar times complex sparse vector to a full 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 |
| F16ECF
| Real scaled vector accumulation |
| F16EHF
| Real scaled vector accumulation preserving input |
| F16ELF
| Sum elements of real vector |
| F16GCF
| Complex scaled vector accumulation |
| F16GHF
| Complex scaled vector accumulation 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 |