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科学研究
Sparse Representation for Multiscale Models and Its Application for Uncertainty Quantification
发布时间:2016-12-15浏览次数:

题目:Sparse Representation for Multiscale Models and Its Application for Uncertainty Quantification

报告人:姜立建 教授(湖南大学)

地点:致远楼107室

时间:12月15日 下午4:00--5:00

Abastract: Stochastic multiscale modeling has become a popular approach to quantify uncertainty in multiscale models. The combination of multiscale features and complex uncertainty in models leads to great challenge to simulate the models and explore the propagation of uncertainty. To treat the difficulty, it is desirable to construct a sparse representation for the outputs of the multiscale models. In the talk, we present a sparse representation based on reduced multiscale basis methods and investigate uncertainty quantification for some porous media applications.

欢迎各位老师参加!