From PDEs to Information Science and Back
主 题: From PDEs to Information Science and Back
报告人: Professor Russel Caflisch (Director of Institute of Pure and Applied Mathematics, UCLA)
时 间: 2013-05-31 10:30-11:30
地 点: 理科一号楼1114 （数学所活动）
The arrival of massive amounts of data from imaging, sensors, computation and the internet brings with it challenges for information science. New methods for analysis and manipulation of big data have come from many fields of mathematical science. Among these, the application of ideas from PDEs, such as variational principles and numerical diffusion, to information science is the first focus of this presentation. The second focus is the emerging influence back to PDEs of very successful ideas from information science, such as sparsity and compressed sensing.