.. _method-mesh_adaptive_search-display_all_evaluations: """"""""""""""""""""""" display_all_evaluations """"""""""""""""""""""" Shows mesh adaptive search's internally held list of all evaluations .. toctree:: :hidden: :maxdepth: 1 **Specification** - *Alias:* None - *Arguments:* None - *Default:* false **Description** If set, ``display_all_evaluations`` will instruct the mesh adaptive direct search method to print out its own record of all evaluations. The information reported may be controlled using :dakkw:`method-mesh_adaptive_search-display_format`. *Default Behavior* By default, mesh adaptive direct search does not report information on all evaluations, only on those for which an improvement in the objective function is found. *Expected Outputs* The information specified by ``display_format`` will be reported to the screen for every function evaluation. *Usage Tips* This will most likely only be useful for power users who want to understand and/or report more detailed information on method behavior. **Examples** The following example shows the syntax for specifying ``display_all_evaluations``. .. code-block:: method mesh_adaptive_search display_all_evaluations max_function evaluations=20 seed = 1234 Note that the output below reports information (default for ``display_format``) for all function evaluations. .. code-block:: MADS run { BBE OBJ 1 17.0625000000 2 1.0625000000 3 1297.0625000000 4 257.0625000000 5 81.0625000000 6 151.0625000000 7 1051.0625000000 8 40.0625000000 9 17.0625000000 10 40.0625000000 11 1.0625000000 12 102.0625000000 13 0.0625000000 14 231.0625000000 15 16.0625000000 16 5.0625000000 17 16.0625000000 18 71.0625000000 19 0.0625000000 20 1.0625000000 } end of run (max number of blackbox evaluations) blackbox evaluations : 20 best feasible solution : ( 1 0.5 1 ) h=0 f=0.0625 That is in contrast with what would be reported by default. .. code-block:: MADS run { BBE OBJ 1 17.0625000000 2 1.0625000000 13 0.0625000000 20 0.0625000000 } end of run (max number of blackbox evaluations) blackbox evaluations : 20 best feasible solution : ( 1 0.5 1 ) h=0 f=0.0625