| Function Name |
Mark of Introduction |
Purpose |
| e04abc
Example Text |
5 | nag_opt_one_var_no_deriv Minimizes a function of one variable, using function values only |
| e04bbc
Example Text |
5 | nag_opt_one_var_deriv Minimizes a function of one variable, requires first derivatives |
| e04cbc
Example Text Example Plot |
9 | nag_opt_simplex_easy Unconstrained minimization using simplex algorithm, function of several variables using function values only |
| e04dgc
Example Text Example Options |
2 | nag_opt_conj_grad Unconstrained minimization using conjugate gradients |
| e04fcc
Example Text Example Options |
2 | nag_opt_lsq_no_deriv Unconstrained nonlinear least squares (no derivatives required) |
| e04gbc
Example Text Example Options |
2 | nag_opt_lsq_deriv Unconstrained nonlinear least squares (first derivatives required) |
| e04hcc
Example Text |
2 | nag_opt_check_deriv Derivative checker |
| e04hdc
Example Text |
5 | nag_opt_check_2nd_deriv Checks second derivatives of a user-defined function |
| e04jbc
Example Text Example Options |
2 | nag_opt_bounds_no_deriv Bound constrained nonlinear minimization (no derivatives required) Note: this function is scheduled for withdrawal at Mark 26, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |
| e04jcc
Example Text |
23 | nag_opt_bounds_qa_no_deriv Minimum by quadratic approximation, function of several variables, simple bounds, using function values only |
| e04kbc
Example Text Example Options |
2 | nag_opt_bounds_deriv Bound constrained nonlinear minimization (first derivatives required) |
| e04lbc
Example Text Example Options |
5 | nag_opt_bounds_2nd_deriv Solves bound constrained problems (first and second derivatives required) |
| e04mfc
Example Text Example Options |
2 | nag_opt_lp Linear programming |
| e04mxc
Example Text Example Options |
24 | nag_opt_miqp_mps_read Reads MPS data file defining LP, QP, MILP or MIQP problem |
| e04myc | 5 | nag_opt_sparse_mps_free Free memory allocated by nag_opt_sparse_mps_read (e04mzc) |
| e04mzc
Example Text Example Data |
5 | nag_opt_sparse_mps_read Read MPSX data for sparse LP or QP problem from a file |
| e04ncc
Example Text Example Data |
5 | nag_opt_lin_lsq Solves linear least squares and convex quadratic programming problems (non-sparse) |
| e04nfc
Example Text Example Options |
2 | nag_opt_qp Quadratic programming |
| e04nkc
Example Text Example Data |
5 | nag_opt_sparse_convex_qp Solves sparse linear programming or convex quadratic programming problems |
| e04npc | 8 | nag_opt_sparse_convex_qp_init Initialization function for nag_opt_sparse_convex_qp_solve (e04nqc) |
| e04nqc
Example Text Example Data |
8 | nag_opt_sparse_convex_qp_solve LP or QP problem (suitable for sparse problems) |
| e04nrc
Example Text |
8 | nag_opt_sparse_convex_qp_option_set_file Supply optional argument values for nag_opt_sparse_convex_qp_solve (e04nqc) from external file |
| e04nsc | 8 | 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 | 8 | 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 | 8 | nag_opt_sparse_convex_qp_option_set_double Set a single option for nag_opt_sparse_convex_qp_solve (e04nqc) from a real argument |
| e04nxc | 8 | 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 | 8 | nag_opt_sparse_convex_qp_option_get_double Get the setting of a real valued option of nag_opt_sparse_convex_qp_solve (e04nqc) |
| e04pcc
Example Text Example Data |
24 | nag_opt_bnd_lin_lsq Computes the least squares solution to a set of linear equations subject to fixed upper and lower bounds on the variables. An option is provided to return a minimal length solution if a solution is not unique |
| e04ucc
Example Text Example Options |
4 | nag_opt_nlp Minimization with nonlinear constraints using a sequential QP method |
| e04udc
Example Text |
23 | nag_opt_nlp_revcomm_option_set_file Supply optional argument values for nag_opt_nlp (e04ucc) or nag_opt_nlp_revcomm (e04ufc) from external file |
| e04uec | 23 | nag_opt_nlp_revcomm_option_set_string Supply optional argument values to nag_opt_nlp (e04ucc) or nag_opt_nlp_revcomm (e04ufc) |
| e04ufc
Example Text Example Data |
23 | nag_opt_nlp_revcomm Minimum, function of several variables, sequential QP method, nonlinear constraints, using function values and optionally first derivatives (reverse communication, comprehensive) |
| e04ugc
Example Text Example Options |
6 | nag_opt_nlp_sparse NLP problem (sparse) |
| e04unc
Example Text Example Data |
5 | nag_opt_nlin_lsq Solves nonlinear least squares problems using the sequential QP method |
| e04vgc | 8 | nag_opt_sparse_nlp_init Initialization function for nag_opt_sparse_nlp_solve (e04vhc) |
| e04vhc
Example Text Example Data |
8 | nag_opt_sparse_nlp_solve General sparse nonlinear optimizer |
| e04vjc
Example Text Example Data |
8 | nag_opt_sparse_nlp_jacobian Determine the pattern of nonzeros in the Jacobian matrix for nag_opt_sparse_nlp_solve (e04vhc) |
| e04vkc
Example Text |
8 | nag_opt_sparse_nlp_option_set_file Supply optional argument values for nag_opt_sparse_nlp_solve (e04vhc) from external file |
| e04vlc | 8 | nag_opt_sparse_nlp_option_set_string Set a single option for nag_opt_sparse_nlp_solve (e04vhc) from a character string |
| e04vmc | 8 | nag_opt_sparse_nlp_option_set_integer Set a single option for nag_opt_sparse_nlp_solve (e04vhc) from an integer argument |
| e04vnc | 8 | nag_opt_sparse_nlp_option_set_double Set a single option for nag_opt_sparse_nlp_solve (e04vhc) from a real argument |
| e04vrc | 8 | nag_opt_sparse_nlp_option_get_integer Get the setting of an integer valued option of nag_opt_sparse_nlp_solve (e04vhc) |
| e04vsc | 8 | nag_opt_sparse_nlp_option_get_double Get the setting of a real valued option of nag_opt_sparse_nlp_solve (e04vhc) |
| e04wbc | 23 | nag_opt_nlp_revcomm_init Initialization function for nag_opt_nlp_revcomm (e04ufc) |
| e04wcc | 8 | nag_opt_nlp_init Initialization function for nag_opt_nlp_solve (e04wdc) |
| e04wdc
Example Text Example Data |
8 | nag_opt_nlp_solve Solves the nonlinear programming (NLP) problem |
| e04wec
Example Text |
8 | nag_opt_nlp_option_set_file Supply optional argument values for nag_opt_nlp_solve (e04wdc) from external file |
| e04wfc | 8 | nag_opt_nlp_option_set_string Set a single option for nag_opt_nlp_solve (e04wdc) from a character string |
| e04wgc | 8 | nag_opt_nlp_option_set_integer Set a single option for nag_opt_nlp_solve (e04wdc) from an integer argument |
| e04whc | 8 | nag_opt_nlp_option_set_double Set a single option for nag_opt_nlp_solve (e04wdc) from a real argument |
| e04wkc | 8 | nag_opt_nlp_option_get_integer Get the setting of an integer valued option of nag_opt_nlp_solve (e04wdc) |
| e04wlc | 8 | nag_opt_nlp_option_get_double Get the setting of a real valued option of nag_opt_nlp_solve (e04wdc) |
| e04xac
Example Text |
5 | nag_opt_estimate_deriv Computes an approximation to the gradient vector and/or the Hessian matrix |
| e04xxc | 2 | nag_opt_init Initialization function for option setting |
| e04xyc | 2 | nag_opt_read Read options from a text file |
| e04xzc | 2 | nag_opt_free Memory freeing function for use with option setting |
| e04yac
Example Text Example Data |
2 | nag_opt_lsq_check_deriv Least squares derivative checker for use with nag_opt_lsq_deriv (e04gbc) |
| e04ycc
Example Text Example Data |
2 | nag_opt_lsq_covariance Covariance matrix for nonlinear least squares |