Tips

• If you want to benchmark your computer for Matlab speed simply run "bench" in Matlab

• You can switch off adaptive sample selection if you do not specify a <SampleSelector> tag. See Adaptive Modeling Mode.

• Remember that the Measure (and error function you use) strongly influence the quality and fit of the surrogate model. If you are unhappy with the final model, try a different Measure and/or error function. See also Multi-Objective Modeling.

• If the toolbox is too slow for you can speed it up in different ways. See: FAQ#How_can_I_make_the_toolbox_run_faster.3F

• By default Matlab warnings are turned off. To turn them on, either edit configure.m or type 'warning on' before running 'go'

• The site http://www.spacefillingdesigns.nl/ contains precalculated experimental designs you can (and should!) use with SUMO. You can use them as part of a dataset initial design.

• A blog covering related research can be found here http://sumolab.blogspot.com