E05 – global optimization of a function
- E05 Introduction
- e05ja – Initialization function for e05jb
- nag_glopt_bnd_mcs_init
- e05jb – Global optimization by multi-level coordinate search, simple bounds, using function values only
- nag_glopt_bnd_mcs_solve
- e05jd – Set a single optional parameter for e05jb from a character string
- nag_glopt_bnd_mcs_optset_string
- e05je – Set a single optional parameter for e05jb from an "ON"/"OFF"-valued character argument
- nag_glopt_bnd_mcs_optset_char
- e05jf – Set a single optional parameter for e05jb from an integer argument
- nag_glopt_bnd_mcs_optset_int
- e05jg – Set a single optional parameter for e05jb from a real argument
- nag_glopt_bnd_mcs_optset_real
- e05jh – Determine whether an optional parameter for e05jb has been set by you or not
- nag_glopt_bnd_mcs_option_check
- e05jj – Get the setting of an "ON"/"OFF"-valued character optional parameter of e05jb
- nag_glopt_bnd_mcs_optget_char
- e05jk – Get the setting of an integer valued optional parameter of e05jb
- nag_glopt_bnd_mcs_optget_int
- e05jl – Get the setting of a real valued optional parameter of e05jb
- nag_glopt_bnd_mcs_optget_real
- e05sa – Global optimization using particle swarm algorithm (PSO), bound constraints only
- nag_glopt_bnd_pso
- e05sb – Global optimization using particle swarm algorithm (PSO), comprehensive
- nag_glopt_nlp_pso
- e05uc – Global optimization using multi-start, nonlinear constraints
- nag_glopt_nlp_multistart_sqp
- e05us – Global optimization of a sum of squares problem using
multi-start, nonlinear constraints
- nag_glopt_nlp_multistart_sqp_lsq
- e05zk – Option setting routine for e05sa, e05sb, e05uc, e05us
- nag_glopt_optset
- e05zl – Option getting routine for e05sa, e05sb, e05uc, e05us
- nag_glopt_optget
