中科院数学与系统科学研究院
数学研究所
调和分析及其应用中心
学术报告会
报告人：Prof. Albert Cohen（Lions Laoratory of Unievrsity of Paris 6, France）
题 目：Sparse methods and high dimensional parametric PDE's
时 间：3:00-5:00, Nov. 18
3:00-5:00, Nov. 19
3:00-5:00, Nov. 20
3:00-5:00, Nov. 21
地 点：晨兴数学中心110室
摘 要： The last ten years have seen an important development of analytical and numerical methods based on the notion of sparsity. The course will survey the mathematical foundations supporting these developments. Wavelet decompositions will be used as a motivating example of nonlinear sparse approximation. The topic of compressed sensing and its relation with high dimensional analysis will also be discussed. Finally, the course will center on the study of high dimensional parametric PDE's that are a current challenge for numerical methods.
