1Blurb:: 2(Experimental) How to select new points 3 4Description:: 5\c adaptive_sampling is an experimental capability that is not ready 6for production use at this time. 7 8With batch or multi-point selection, the true model can be evaluated 9in parallel and thus increase throughput before refitting our 10surrogate model. This proposes a new challenge as the problem of 11choosing a single point and choosing multiple points off a surrogate 12are fundamentally different. Selecting the \c n best scoring 13candidates is more than likely to generate a set of points clustered 14in one area which will not be conducive to adapting the surrogate. 15 16We have implemented several strategies for batch selection of points. 17These are described in the User's manual and are the subject of 18active research. 19 20The \c batch_selection strategies include: 21<ol> 22<li> \c naive: 23<li> \c distance_penalty 24<li> \c constant_liar 25<li> \c topology 26</ol> 27 28Topics:: 29Examples:: 30Theory:: 31Faq:: 32See_Also:: 33