Computational Strategies for Data-driven Modeling of Stochastic Systems
Author | : Baskar Ganapathysubramanian |
Publisher | : |
Total Pages | : 201 |
Release | : 2008 |
ISBN-10 | : 0549838511 |
ISBN-13 | : 9780549838517 |
Rating | : 4/5 (517 Downloads) |
Download or read book Computational Strategies for Data-driven Modeling of Stochastic Systems written by Baskar Ganapathysubramanian and published by . This book was released on 2008 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the third part of the thesis, the data-driven input model generation strategies coupled with the sparse grid collocation strategies are utilized to analyze systems characterized by multi-length scale uncertainties. A stochastic variational multiscale formulation is developed to incorporate uncertain multiscale features. The framework is applied to analyze flow through random heterogeneous media when only limited statistics about the permeability variation are given.