| ask_dX | ask&tell component function to 'ask' where objective function gradient evaluation is required. |
| ask_dY | ask&tell component function to 'ask' objective function gradient evaluation using finite difference. |
| ask_X | ask&tell component function to 'ask' where objective function evaluation is required. |
| ask_Y | ask&tell component function to 'ask' objective function evaluation. |
| from01 | Helper function to scale from [0,1] to [min,max] |
| import | Dependencies loader, supports many protocols like github:, gitlab:, ... using remotes::instal_... Will create a local '.lib' directory to store packages installed |
| list.results | Parse algorithm string result in R list |
| max_input | Helper function to get $max from 'input' list |
| min_input | Helper function to get $min from 'input' list |
| parse.algorithm | Parse algorithm file and returns its (header) indos and methods |
| read.algorithm | Read algorithm file and returns one header info |
| run.algorithm | Apply a template algorithm file to an objective function |
| tell_dY | ask&tell component function to 'tell' objective function value to waiting 'ask_Y' call in another R session. |
| tell_Y | ask&tell component function to 'tell' objective function value to waiting 'ask_Y' call in another R session. |
| to01 | Helper function to scale from [min,max] to [0,1] |