Aim & Scope:

Numerical algebra has been playing pivotal roles as the pillar of scientific computing for decades. Theories and numerical techniques to its core problems including linear systems, least squares problems, and eigenvalue problems are taken very much for granted and used daily in science and engineering without questioning. Today numerical algebra sits at the cross road of reinventing itself to adapt to a rapidly changing landscape because of the emergence of data science and artificial intelligence, while its original core mission remains. This online workshop series aims to bring you a series of advanced technical talks on latest developments in numerical algebra and its recent machine learning applications.

Invited Speakers:

Shih Yu Chang (San Jose State University)

Weiguo Gao (Fudan University)

Junjun Pan (The University of Hong Kong)

Joint Zoom Meeting:

Zoom ID: 62553542821

Zoom password: 210217

Program Download (please click here)