The construction of surrogate models is important as a mean of acceleration in computational methods for uncertainty quantification (UQ). When the forward model is particularly expensive, surrogate models can be used for the forward propagation of uncertainty  and the solution of inference problems . An adaptive construction is necessary to meet the prescribed accuracy tolerances with the lowest computational effort.
|Number of pages||1|
|Publication status||Published - 2015|
|Event||SIAM Conference on Computational Science and Engineering (SIAM CSE 2015) - Salt Lake City, Utah, United States|
Duration: 4 Mar 2015 → 18 Mar 2015
|Conference||SIAM Conference on Computational Science and Engineering (SIAM CSE 2015)|
|City||Salt Lake City, Utah|
|Period||04/03/2015 → 18/03/2015|