Function |
Mark of Introduction |
Purpose |
|---|---|---|
| e05jac | 9 | nag_glopt_bnd_mcs_init Initialization function for e05jbc |
| e05jbc
Example Text Example Data Example Plot |
9 | nag_glopt_bnd_mcs_solve Global optimization by multi-level coordinate search, simple bounds, using function values only |
| e05jcc
Example Text Example Plot |
9 | nag_glopt_bnd_mcs_optset_file Supply optional parameter values for e05jbc from external file |
| e05jdc | 9 | nag_glopt_bnd_mcs_optset_string Set a single optional parameter for e05jbc from a character string |
| e05jec | 9 | nag_glopt_bnd_mcs_optset_char Set a single optional parameter for e05jbc from an ‘ON’/‘OFF’-valued character argument |
| e05jfc | 9 | nag_glopt_bnd_mcs_optset_int Set a single optional parameter for e05jbc from an integer argument |
| e05jgc | 9 | nag_glopt_bnd_mcs_optset_real Set a single optional parameter for e05jbc from a real argument |
| e05jhc | 9 | nag_glopt_bnd_mcs_option_check Determine whether an optional parameter for e05jbc has been set by you or not |
| e05jkc | 9 | nag_glopt_bnd_mcs_optget_int Get the setting of an integer valued optional parameter of e05jbc |
| e05jlc | 9 | nag_glopt_bnd_mcs_optget_real Get the setting of a real valued optional parameter of e05jbc |
| e05sac
Example Text Example Text |
23 | nag_glopt_bnd_pso Global optimization using particle swarm algorithm (PSO), bound constraints only |
| e05sbc
Example Text |
23 | nag_glopt_nlp_pso Global optimization using particle swarm algorithm (PSO), comprehensive |
| e05ucc
Example Text Example Data |
23 | nag_glopt_nlp_multistart_sqp Global optimization using multi-start, nonlinear constraints |
| e05usc
Example Text Example Data |
24 | nag_glopt_nlp_multistart_sqp_lsq Global optimization of a sum of squares problem using multi-start, nonlinear constraints |
| e05zkc | 23 | nag_glopt_optset Option setting routine for e05sac, e05sbc, e05ucc and e05usc |
| e05zlc | 23 | nag_glopt_optget Option getting routine for e05sac, e05sbc, e05ucc and e05usc |