Numerical Optimization

Deanna Needell is a Professor of Mathematics at University of California, Los Angeles (UCLA) and a leading researcher in compressed sensing, numerical linear algebra, data science, and machine learning. Her work has shaped modern sparse recovery and randomized iterative algorithms, and she is widely known for co-developing CoSaMP, a cornerstone method in compressed sensing. More broadly, her research connects linear algebra and optimization with machine learning.Deanna’s research excellence has been

Stanley Osher is a mathematician at University of California Los Angeles.Subscribe for updates and related optimization articles at https://www.typalacademy.com Show Notes: Here is the original paper on total variation for denoising. Here is a talk from 2003 where Stan describes and shows images from the attack on the truck driver Reginald Denny during the riots in LA (skip to 11:00 for the story). Here is the paper on the level set method. The company Stan cofounded, Luminescent

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