제목: What Sparsity and ℓ1 Optimization Can Do For You
연사: Stanley Osher (UCLA)
일시: 2016년 4월 8일(금) 16시
장소: 국가수리과학연구소 연구교류센터(CAMP) 대형세미나실
초록: Sparsity and compressive sensing have had a tremendous impact in science, technology, medicine, imaging, machine learning and now, in solving multiscale problems in applied partial differential equations, developing sparse bases for Elliptic eigenspaces and connections with viscosity solutions to Hamilton-Jacobi equations. ℓ1 and related optimization solvers are a key tool in this area. The special nature of this functional allows for very fast solvers: ℓ1 actually forgives and forgets errors in Bregman iterative methods.
I will describe simple, fast algorithms and new applications ranging from image processing, machine learning to sparse dynamics for PDE.