Convex Optimization with Abstract Linear Operators
Demonstrates how proximal splitting algorithms (ADMM) and fast matrix-free linear operators solve massive convex inverse problems in imaging and control.
Samsung Professor in the School of Engineering, Stanford University
Self-contained public lectures, keynote addresses, and research seminars.
Demonstrates how proximal splitting algorithms (ADMM) and fast matrix-free linear operators solve massive convex inverse problems in imaging and control.