Blurb::
Information to be reported from mesh adaptive search's internal
records.

Description::
The \c display_format keyword is used to specify the set of
information to be reported by the mesh adaptive direct search method.
This is information mostly internal to the method and not reported via
%Dakota output.

<b> Default Behavior </b>

By default, only the number of function evaluations (bbe) and the
objective function value (obj) are reported.

The full list of options is as follows.  Note that case does not
matter.

\li BBE: Blackbox evaluations.
\li BBO: Blackbox outputs.
\li EVAL: Evaluations (includes cache hits).
\li MESH_INDEX: Mesh index.
\li MESH_SIZE: Mesh size parameter.
\li OBJ: Objective function value.
\li POLL_SIZE: Poll size parameter.
\li SOL: Solution, with format iSOLj where i and j are two (optional)
strings: i will be displayed before each coordinate, and j after each
coordinate (except the last).
\li STAT_AVG: The AVG statistic.
\li STAT_SUM: The SUM statistic defined by argument.
\li TIME: Wall-clock time.
\li VARi: Value of variable i. The index 0 corresponds to the first variable.

<b> Expected Outputs </b>

A list of the requested information will be printed to the screen.

<b> Usage Tips </b>

This will most likely only be useful for power users who want to
understand and/or report more detailed information on method behavior.

Topics::

Examples::

The following example shows the syntax for specifying \c
display_format.  Note that all desired information options should be
listed within a single string.

\verbatim
method
  mesh_adaptive_search
    display_format 'bbe obj poll_size'
    seed = 1234
\endverbatim

Below is the output reported for the above example.

\verbatim
MADS run {

	BBE	OBJ	POLL_SIZE

	   1	17.0625000000	2.0000000000 2.0000000000 2.0000000000 
	   2	1.0625000000	2.0000000000 2.0000000000 2.0000000000 
	  13	0.0625000000	1.0000000000 1.0000000000 1.0000000000 
	  24	0.0002441406	0.5000000000 0.5000000000 0.5000000000 
	  41	0.0000314713	0.1250000000 0.1250000000 0.1250000000 
	  43	0.0000028610	0.2500000000 0.2500000000 0.2500000000 
	  54	0.0000000037	0.1250000000 0.1250000000 0.1250000000 
	  83	0.0000000000	0.0078125000 0.0078125000 0.0078125000 
	 105	0.0000000000	0.0009765625 0.0009765625 0.0009765625 
	 112	0.0000000000	0.0009765625 0.0009765625 0.0009765625 
	 114	0.0000000000	0.0019531250 0.0019531250 0.0019531250 
	 135	0.0000000000	0.0004882812 0.0004882812 0.0004882812 
	 142	0.0000000000	0.0004882812 0.0004882812 0.0004882812 
	 153	0.0000000000	0.0004882812 0.0004882812 0.0004882812 
	 159	0.0000000000	0.0009765625 0.0009765625 0.0009765625 
	 171	0.0000000000	0.0004882812 0.0004882812 0.0004882812 
	 193	0.0000000000	0.0000610352 0.0000610352 0.0000610352 
	 200	0.0000000000	0.0000610352 0.0000610352 0.0000610352 
	 207	0.0000000000	0.0000610352 0.0000610352 0.0000610352 
	 223	0.0000000000	0.0000305176 0.0000305176 0.0000305176 
	 229	0.0000000000	0.0000610352 0.0000610352 0.0000610352 
	 250	0.0000000000	0.0000152588 0.0000152588 0.0000152588 
	 266	0.0000000000	0.0000076294 0.0000076294 0.0000076294 
	 282	0.0000000000	0.0000038147 0.0000038147 0.0000038147 
	 288	0.0000000000	0.0000076294 0.0000076294 0.0000076294 
	 314	0.0000000000	0.0000009537 0.0000009537 0.0000009537 
	 320	0.0000000000	0.0000019073 0.0000019073 0.0000019073 
	 321	0.0000000000	0.0000038147 0.0000038147 0.0000038147 
	 327	0.0000000000	0.0000076294 0.0000076294 0.0000076294 
	 354	0.0000000000	0.0000004768 0.0000004768 0.0000004768 
	 361	0.0000000000	0.0000004768 0.0000004768 0.0000004768 
	 372	0.0000000000	0.0000004768 0.0000004768 0.0000004768 
	 373	0.0000000000	0.0000009537 0.0000009537 0.0000009537 
	 389	0.0000000000	0.0000004768 0.0000004768 0.0000004768 
	 400	0.0000000000	0.0000004768 0.0000004768 0.0000004768 
	 417	0.0000000000	0.0000001192 0.0000001192 0.0000001192 
	 444	0.0000000000	0.0000000075 0.0000000075 0.0000000075 
	 459	0.0000000000	0.0000000037 0.0000000037 0.0000000037 
	 461	0.0000000000	0.0000000075 0.0000000075 0.0000000075 
	 488	0.0000000000	0.0000000005 0.0000000005 0.0000000005 
	 492	0.0000000000	0.0000000009 0.0000000009 0.0000000009 
	 494	0.0000000000	0.0000000019 0.0000000019 0.0000000019 
	 501	0.0000000000	0.0000000019 0.0000000019 0.0000000019 
	 518	0.0000000000	0.0000000005 0.0000000005 0.0000000005 
	 530	0.0000000000	0.0000000002 0.0000000002 0.0000000002 
	 537	0.0000000000	0.0000000002 0.0000000002 0.0000000002 
	 564	0.0000000000	0.0000000000 0.0000000000 0.0000000000 
	 566	0.0000000000	0.0000000000 0.0000000000 0.0000000000 
	 583	0.0000000000	0.0000000000 0.0000000000 0.0000000000 
	 590	0.0000000000	0.0000000000 0.0000000000 0.0000000000 
	 592	0.0000000000	0.0000000000 0.0000000000 0.0000000000 
	 604	0.0000000000	0.0000000000 0.0000000000 0.0000000000 
	 606	0.0000000000	0.0000000000 0.0000000000 0.0000000000 
	 629	0.0000000000	0.0000000000 0.0000000000 0.0000000000 
	 636	0.0000000000	0.0000000000 0.0000000000 0.0000000000 
	 658	0.0000000000	0.0000000000 0.0000000000 0.0000000000 
	 674	0.0000000000	0.0000000000 0.0000000000 0.0000000000 

} end of run (mesh size reached NOMAD precision)

blackbox evaluations                     : 674
best feasible solution                   : ( 1 1 1 ) h=0 f=1.073537728e-52
\endverbatim

Theory::
Faq::
See_Also::
method-mesh_adaptive_search-display_all_evaluations	
