Routine |
Mark of Introduction |
Purpose |
|---|---|---|
| e04ab_a1w_f | 27 | nagf_opt_one_var_func_a1w Minimizes a function of one variable, using function values only |
| e04dg_a1w_f | 26.2 | nagf_opt_uncon_conjgrd_comp_a1w Unconstrained minimum, preconditioned conjugate gradient algorithm, using first derivatives (comprehensive) |
| e04fc_a1w_f | 26.2 | nagf_opt_lsq_uncon_mod_func_comp_a1w Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm, using function values only (comprehensive) |
| e04gb_a1w_f | 26.2 | nagf_opt_lsq_uncon_quasi_deriv_comp_a1w (symbolic adjoint mode) Unconstrained minimum of a sum of squares, combined Gauss–Newton and quasi-Newton algorithm, using first derivatives (comprehensive) |
| e04kf_a1w_f | 27.1 | nagf_opt_handle_solve_bounds_foas_a1w First-order active-set method for box constrained nonlinear optimization with low memory requirements |
| e04nc_a1w_f | 27.1 | nagf_opt_lsq_lincon_solve_a1w Linear programming (LP) convex quadratic programming (QP) or linearly-constrained linear least squares problem, dense |
| e04nd_a1w_f | 27.1 | nagf_opt_lsq_lincon_option_file_a1w Supply optional parameter values for e04nc_a1w_f from external file |
| e04ne_a1w_f | 27.1 | nagf_opt_lsq_lincon_option_string_a1w Supply optional parameter values to e04nc_a1w_f from a character string |
| e04ra_a1w_f | 27.1 | nagf_opt_handle_init_a1w Initialization of a handle for the NAG optimization modelling suite for problems, such as, linear programming (LP), quadratic programming (QP), nonlinear programming (NLP), least squares (LSQ) problems, linear semidefinite programming (SDP) or SDP with bilinear matrix inequalities (BMI-SDP) |
| e04ta_a1w_f | 27.1 | nagf_opt_handle_add_vars_a1w Add new variables to a problem initialized by e04ra_a1w_f |
| e04tb_a1w_f | 27.1 | nagf_opt_handle_enable_a1w Enable components of the model which were previously disabled by e04tc_a1w_f |
| e04tc_a1w_f | 27.1 | nagf_opt_handle_disable_a1w Disable components in the problem initialized by e04ra_a1w_f |
| e04td_a1w_f | 27.1 | nagf_opt_handle_set_bound_a1w Set or modify a bound for an existing constraint (a simple bound, a linear or nonlinear constraint) of a problem initialized by e04ra_a1w_f |
| e04te_a1w_f | 27.1 | nagf_opt_handle_set_linobj_coeff_a1w Set or modify a single coefficient in the linear objective function of a problem initialized by e04ra_a1w_f |
| e04tj_a1w_f | 27.1 | nagf_opt_handle_set_linconstr_coeff_a1w Set or modify a single coefficient in a linear constraint of a problem initialized by e04ra_a1w_f |
| e04uc_a1w_f | 27.1 | nagf_opt_nlp1_solve_a1w Nonlinear programming (NLP), dense, active-set SQP method, using function values and optionally first derivatives, recommended |
| e04ud_a1w_f | 27.1 | nagf_opt_nlp1_option_file_a1w Supply optional parameter values for e04uc_a1w_f or e04uf_a1w_f from external file |
| e04ue_a1w_f | 27.1 | nagf_opt_nlp1_option_string_a1w Supply optional parameter values to e04uc_a1w_f or e04uf_a1w_f from a character string |
| e04us_a1w_f | 27 | nagf_opt_lsq_gencon_deriv_a1w Minimum of a sum of squares, nonlinear constraints, dense, active-set SQP method, using function values and optionally first derivatives |
| e04wb_a1w_f | 27.1 | nagf_opt_nlp1_init_a1w Initialization routine for e04dg_a1w_f, e04mf_a1w_f, e04nc_a1w_f, e04nf_a1w_f, e04nk_a1w_f, e04uc_a1w_f, e04uf_a1w_f, e04ug_a1w_f, e04us_a1w_f |