a00acc | nag_check_licensing Check availability of a valid licence key |
e01sgc | nag_2d_shep_interp Interpolating functions, modified Shepard's method, two variables |
e01shc | nag_2d_shep_eval Interpolated values, evaluate interpolant computed by nag_2d_shep_interp (e01sgc), function and first derivatives, two variables |
e01sjc | nag_2d_triang_interp A function to generate a two-dimensional surface interpolating a set of data points, using either the method of Renka and Cline or the modified Shepard's method |
e01skc | nag_2d_triang_eval A function to evaluate, at a set of points, the two-dimensional interpolant function generated by nag_2d_shep_interp (e01sgc) |
e02dac | nag_2d_spline_fit_panel Least-squares surface fit, bicubic splines |
e02zac | nag_2d_panel_sort Sort two-dimensional data into panels for fitting bicubic splines |
e04npc | nag_opt_sparse_convex_qp_init Initialization function for nag_opt_sparse_convex_qp_solve (e04nqc) |
e04nqc | nag_opt_sparse_convex_qp_solve LP or QP problem (suitable for sparse problems) |
e04nrc | nag_opt_sparse_convex_qp_option_set_file Supply optional parameter values for nag_opt_sparse_convex_qp_solve (e04nqc) from external file |
e04nsc | nag_opt_sparse_convex_qp_option_set_string Set a single option for nag_opt_sparse_convex_qp_solve (e04nqc) from a character string |
e04ntc | nag_opt_sparse_convex_qp_option_set_integer Set a single option for nag_opt_sparse_convex_qp_solve (e04nqc) from an Integer argument |
e04nuc | nag_opt_sparse_convex_qp_option_set_double Set a single option for nag_opt_sparse_convex_qp_solve (e04nqc) from a double argument |
e04nxc | nag_opt_sparse_convex_qp_option_get_integer Get the setting of an Integer valued option of nag_opt_sparse_convex_qp_solve (e04nqc) |
e04nyc | nag_opt_sparse_convex_qp_option_get_double Get the setting of a double valued option of nag_opt_sparse_convex_qp_solve (e04nqc) |
e04vgc | nag_opt_sparse_nlp_init Initialization function for nag_opt_sparse_nlp_solve (e04vhc) |
e04vhc | nag_opt_sparse_nlp_solve General sparse nonlinear optimizer |
e04vjc | nag_opt_sparse_nlp_jacobian Determine the pattern of nonzeros in the Jacobian matrix for nag_opt_sparse_nlp_solve (e04vhc) |
e04vkc | nag_opt_sparse_nlp_option_set_file Supply optional parameter values for nag_opt_sparse_nlp_solve (e04vhc) from external file |
e04vlc | nag_opt_sparse_nlp_option_set_string Set a single option for nag_opt_sparse_nlp_solve (e04vhc) from a character string |
e04vmc | nag_opt_sparse_nlp_option_set_integer Set a single option for nag_opt_sparse_nlp_solve (e04vhc) from an Integer argument |
e04vnc | nag_opt_sparse_nlp_option_set_double Set a single option for nag_opt_sparse_nlp_solve (e04vhc) from a double argument |
e04vrc | nag_opt_sparse_nlp_option_get_integer Get the setting of an Integer valued option of nag_opt_sparse_nlp_solve (e04vhc) |
e04vsc | nag_opt_sparse_nlp_option_get_double Get the setting of a double valued option of nag_opt_sparse_nlp_solve (e04vhc) |
e04wcc | nag_opt_nlp_init Initialization function for nag_opt_nlp_solve (e04wdc) |
e04wdc | nag_opt_nlp_solve Solves the nonlinear programming (NP) problem |
e04wec | nag_opt_nlp_option_set_file Supply optional parameter values for nag_opt_nlp_solve (e04wdc) from external file |
e04wfc | nag_opt_nlp_option_set_string Set a single option for nag_opt_nlp_solve (e04wdc) from a character string |
e04wgc | nag_opt_nlp_option_set_integer Set a single option for nag_opt_nlp_solve (e04wdc) from an Integer argument |
e04whc | nag_opt_nlp_option_set_double Set a single option for nag_opt_nlp_solve (e04wdc) from a double argument |
e04wkc | nag_opt_nlp_option_get_integer Get the setting of an Integer valued option of nag_opt_nlp_solve (e04wdc) |
e04wlc | nag_opt_nlp_option_get_double Get the setting of a double valued option of nag_opt_nlp_solve (e04wdc) |
f04bac | nag_real_gen_lin_solve Computes the solution and error-bound to a real system of linear equations |
f04bbc | nag_real_band_lin_solve Computes the solution and error-bound to a real banded system of linear equations |
f04bcc | nag_real_tridiag_lin_solve Computes the solution and error-bound to a real tridiagonal system of linear equations |
f04bdc | nag_real_sym_posdef_lin_solve Computes the solution and error-bound to a real symmetric positive-definite system of linear equations |
f04bec | nag_real_sym_posdef_packed_lin_solve Computes the solution and error-bound to a real symmetric positive-definite system of linear equations, packed storage |
f04bfc | nag_real_sym_posdef_band_lin_solve Computes the solution and error-bound to a real symmetric positive-definite banded system of linear equations |
f04bgc | nag_real_sym_posdef_tridiag_lin_solve Computes the solution and error-bound to a real symmetric positive-definite tridiagonal system of linear equations |
f04bhc | nag_real_sym_lin_solve Computes the solution and error-bound to a real symmetric system of linear equations |
f04bjc | nag_real_sym_packed_lin_solve Computes the solution and error-bound to a real symmetric system of linear equations, packed storage |
f04cac | nag_complex_gen_lin_solve Computes the solution and error-bound to a complex system of linear equations |
f04cbc | nag_complex_band_lin_solve Computes the solution and error-bound to a complex banded system of linear equations |
f04ccc | nag_complex_tridiag_lin_solve Computes the solution and error-bound to a complex tridiagonal system of linear equations |
f04cdc | nag_herm_posdef_lin_solve Computes the solution and error-bound to a complex Hermitian positive-definite system of linear equations |
f04cec | nag_herm_posdef_packed_lin_solve Computes the solution and error-bound to a complex Hermitian positive-definite system of linear equations, packed storage |
f04cfc | nag_herm_posdef_band_lin_solve Computes the solution and error-bound to a complex Hermitian positive-definite banded system of linear equations |
f04cgc | nag_herm_posdef_tridiag_lin_solve Computes the solution and error-bound to a complex Hermitian positive-definite tridiagonal system of linear equations |
f04chc | nag_herm_lin_solve Computes the solution and error-bound to a complex Hermitian system of linear equations |
f04cjc | nag_herm_packed_lin_solve Computes the solution and error-bound to a complex Hermitian system of linear equations, packed storage |
f04dhc | nag_complex_sym_lin_solve Computes the solution and error-bound to a complex symmetric system of linear equations |
f04djc | nag_complex_sym_packed_lin_solve Computes the solution and error-bound to a complex symmetric system of linear equations, packed storage. |
f06fec | nag_drscl Multiply real vector by reciprocal of scalar |
f06kec | nag_zrscl Multiply complex vector by reciprocal of real scalar |
f11mdc | nag_superlu_column_permutation Real sparse nonsymmetric linear systems, setup for nag_superlu_lu_factorize (f11mec) |
f11mec | nag_superlu_lu_factorize LU factorization of real sparse matrix |
f11mfc | nag_superlu_solve_lu Solution of real sparse simultaneous linear equations (coefficient matrix already factorized) |
f11mgc | nag_superlu_condition_number_lu Estimate condition number of real matrix, matrix already factorized by nag_superlu_lu_factorize (f11mec) |
f11mhc | nag_superlu_refine_lu Refined solution with error bounds of real system of linear equations, multiple right-hand sides |
f11mkc | nag_superlu_matrix_product Real sparse nonsymmetric matrix matrix multiply, compressed column storage |
f11mlc | nag_superlu_matrix_norm 1-norm, ∞-norm, largest absolute element, real general matrix |
f11mmc | nag_superlu_diagnostic_lu Real sparse nonsymmetric linear systems, diagnostic for nag_superlu_lu_factorize (f11mec) |
f12aac | nag_real_sparse_eigensystem_init Initialization routine for (nag_real_sparse_eigensystem_iter (f12abc)) computing selected eigenvalues and, optionally, eigenvectors of a real nonsymmetric sparse (standard or generalized) eigenproblem |
f12abc | nag_real_sparse_eigensystem_iter 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 |
f12acc | nag_real_sparse_eigensystem_sol Returns the converged approximations (as determined by nag_real_sparse_eigensystem_iter (f12abc)) 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 |
f12adc | nag_real_sparse_eigensystem_option Set a single option from a string (nag_real_sparse_eigensystem_iter (f12abc)/nag_real_sparse_eigensystem_sol (f12acc)/nag_real_banded_sparse_eigensystem_sol (f12agc)) |
f12aec | nag_real_sparse_eigensystem_monit Provides monitoring information for nag_real_sparse_eigensystem_iter (f12abc) |
f12afc | nag_real_banded_sparse_eigensystem_init Initialization routine for (nag_real_banded_sparse_eigensystem_sol (f12agc)) computing selected eigenvalues and, optionally, eigenvectors of a real nonsymmetric banded (standard or generalized) eigenproblem |
f12agc | nag_real_banded_sparse_eigensystem_sol 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 |
f12anc | nag_complex_sparse_eigensystem_init Initialization routine for (nag_complex_sparse_eigensystem_iter (f12apc)) computing selected eigenvalues and, optionally, eigenvectors of a complex sparse (standard or generalized) eigenproblem |
f12apc | nag_complex_sparse_eigensystem_iter 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 |
f12aqc | nag_complex_sparse_eigensystem_sol Returns the converged approximations (as determined by nag_real_sparse_eigensystem_iter (f12abc)) 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 |
f12arc | nag_complex_sparse_eigensystem_option Set a single option from a string (nag_complex_sparse_eigensystem_iter (f12apc)/nag_complex_sparse_eigensystem_sol (f12aqc)) |
f12asc | nag_complex_sparse_eigensystem_monit Provides monitoring information for nag_complex_sparse_eigensystem_iter (f12apc) |
f12fac | nag_real_symm_sparse_eigensystem_init Initialization routine for (nag_real_symm_sparse_eigensystem_iter (f12fbc)) computing selected eigenvalues and, optionally, eigenvectors of a real symmetric sparse (standard or generalized) eigenproblem |
f12fbc | nag_real_symm_sparse_eigensystem_iter 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 |
f12fcc | nag_real_symm_sparse_eigensystem_sol Returns the converged approximations (as determined by nag_real_sparse_eigensystem_iter (f12abc)) 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 |
f12fdc | nag_real_symm_sparse_eigensystem_option Set a single option from a string (nag_real_symm_sparse_eigensystem_iter (f12fbc)/nag_real_symm_sparse_eigensystem_sol (f12fcc)/nag_real_symm_banded_sparse_eigensystem_sol (f12fgc)) |
f12fec | nag_real_symm_sparse_eigensystem_monit Provides monitoring information for nag_real_symm_sparse_eigensystem_iter (f12fbc) |
f12ffc | nag_real_symm_banded_sparse_eigensystem_init Initialization routine for (nag_real_symm_banded_sparse_eigensystem_sol (f12fgc)) computing selected eigenvalues and, optionally, eigenvectors of a real symmetric banded (standard or generalized) eigenproblem |
f12fgc | nag_real_symm_banded_sparse_eigensystem_sol 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 |
f16pac | nag_dgemv Matrix-vector product, real rectangular matrix |
f16pbc | nag_dgbmv Matrix-vector product, real rectangular band matrix |
f16pcc | nag_dsymv Matrix-vector product, real symmetric matrix |
f16pdc | nag_dsbmv Matrix-vector product, real symmetric band matrix |
f16pec | nag_dspmv Matrix-vector product, real symmetric packed matrix |
f16pfc | nag_dtrmv Matrix-vector product, real triangular matrix |
f16pgc | nag_dtbmv Matrix-vector product, real triangular band matrix |
f16phc | nag_dtpmv Matrix-vector product, real triangular packed matrix |
f16pkc | nag_dtbsv System of equations, real triangular band matrix |
f16plc | nag_dtpsv System of equations, real triangular packed matrix |
f16pmc | nag_dger Rank-1 update, real rectangular matrix |
f16ppc | nag_dsyr Rank-1 update, real symmetric matrix |
f16pqc | nag_dspr Rank-1 update, real symmetric packed matrix |
f16prc | nag_dsyr2 Rank-2 update, real symmetric matrix |
f16psc | nag_dspr2 Rank-2 update, real symmetric packed matrix |
f16sac | nag_zgemv Matrix-vector product, complex rectangular matrix |
f16sbc | nag_zgbmv Matrix-vector product, complex rectangular band matrix |
f16scc | nag_zhemv Matrix-vector product, complex Hermitian matrix |
f16sdc | nag_zhbmv Matrix-vector product, complex Hermitian band matrix |
f16sec | nag_zhpmv Matrix-vector product, complex Hermitian packed matrix |
f16sfc | nag_ztrmv Matrix-vector product, complex triangular matrix |
f16sgc | nag_ztbmv Matrix-vector product, complex triangular band matrix |
f16shc | nag_ztpmv Matrix-vector product, complex triangular packed matrix |
f16skc | nag_ztbsv System of equations, complex triangular band matrix |
f16slc | nag_ztpsv System of equations, complex triangular packed matrix |
f16smc | nag_zger Rank-1 update, complex rectangular matrix, unconjugated vector |
f16spc | nag_zher Rank-1 update, complex Hermitian matrix |
f16sqc | nag_zhpr Rank-1 update, complex Hermitian packed matrix |
f16src | nag_zher2 Rank-2 update, complex Hermitian matrix |
f16ssc | nag_zhpr2 Rank-2 update, complex Hermitian packed matrix |
f16tac | nag_zsymv Matrix-vector product, complex symmetric matrix |
f16tcc | nag_zspmv Matrix-vector product, complex symmetric packed matrix |
f16yac | nag_dgemm Matrix-matrix product, two real rectangular matrices |
f16ycc | nag_dsymm Matrix-matrix product, one real symmetric matrix, one real rectangular matrix |
f16yfc | nag_dtrmm Matrix-matrix product, one real triangular matrix, one real rectangular matrix |
f16ypc | nag_dsyrk Rank-k update of a real symmetric matrix |
f16yrc | nag_dsyr2k Rank-2k update of a real symmetric matrix |
f16zac | nag_zgemm Matrix-matrix product, two complex rectangular matrices |
f16zcc | nag_zhemm Matrix-matrix product, one complex Hermitian matrix, one complex rectangular matrix |
f16zfc | nag_ztrmm Matrix-matrix product, one complex triangular matrix, one complex rectangular matrix |
f16zpc | nag_zherk Rank-k update of a complex Hermitian matrix |
f16zrc | nag_zher2k Rank-2k update of a complex Hermitian matrix |
f16ztc | nag_zsymm Matrix-matrix product, one complex symmetric matrix, one complex rectangular matrix |
f16zuc | nag_zsyrk Rank-k update of a complex symmetric matrix |
f16zwc | nag_zsyr2k Rank-2k update of a complex symmetric matrix |
g02efc | nag_full_step_regsn Stepwise linear regression |
g02ewc | nag_full_step_regsn_monit Monitor function for full stepwise regression |
g02jac | nag_reml_mixed_regsn Linear mixed effects regression using Restricted Maximum Likelihood (REML) |
g02jbc | nag_ml_mixed_regsn Linear mixed effects regression using Maximum Likelihood (ML) |
g05lxc | nag_rngs_matrix_multi_students_t Generates a matrix of random numbers from a multivariate Student's t-distribution, seeds and generator passed explicitly |
g05lyc | nag_rgsn_matrix_multi_normal Generates a matrix of random numbers from a multivariate Normal distribution, seeds and generator passed explicitly |
g05rac | nag_rngs_copula_normal Generates a matrix of random numbers from a Gaussian Copula, seeds and generator passed explicitly |
g05rbc | nag_rngs_copula_students_t Generates a matrix of random numbers from a Student's t-Copula, seeds and generator passed explicitly |
g13bgc | nag_tsa_multi_inp_update Multivariate time series, update state set for forecasting from multi-input model |
g13ddc | nag_tsa_varma_estimate Multivariate time series, estimation of VARMA model |
g13djc | nag_tsa_varma_forecast Multivariate time series, forecasts and their standard errors |
g13dkc | nag_tsa_varma_update Multivariate time series, updates forecasts and their standard errors |
g13dsc | nag_tsa_varma_diagnostic Multivariate time series, diagnostic checking of residuals, following nag_tsa_varma_estimate (g13ddc) |
x04acc | nag_open_file Open unit number for reading, writing or appending, and associate unit with named file |
x04adc | nag_close_file Close file associated with given unit number |
x04bac | nag_write_line Write formatted record to external file |
x04bbc | nag_read_line Read formatted record from external file |
x04nac | nag_enum_name_to_value Converts NAG enum member name to value |
x04nbc | nag_enum_value_to_name Converts NAG enum member value to its name |
x04ncc | nag_error_name_to_code Converts NAG error name to its code value |