Interviews with experts in various optimization specialties.
Numerical Optimization
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3 episodes
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Podcast Overview
Interviews with experts in various optimization specialties.
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Publishing Since
11/15/2024
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Recent Episodes
December 29, 2025
#2 — Deanna Needell
Professor Deanna Needell discusses her work in compressed sensing, numerical linear algebra, and machine learning, highlighting the connections between linear algebra, optimization, and real-world applications in this interview.
November 25, 2024
#1 — Stanley Osher
<p>Stanley Osher is a mathematician at University of California Los Angeles.</p> <p>Subscribe for updates and related optimization articles at</p> <p><a href="https://www.typalacademy.com" target="_blank" rel="ugc noopener noreferrer">https://www.typalacademy.com</a></p> <p><br /></p> <p>Show Notes: </p> <ul> <li><p>Here is the original <a href="https://members.cbio.mines-paristech.fr/~jvert/svn/bibli/local/Rudin1992Nonlinear.pdf" target="_blank" rel="ugc noopener noreferrer">paper</a> on total variation for denoising.</p> </li> <li><p>Here is a <a href="https://www.youtube.com/watch?v=bRSpJcPYfLI" target="_blank" rel="ugc noopener noreferrer">talk</a> from 2003 where Stan describes and shows images from the <a href="https://en.wikipedia.org/wiki/Attack_on_Reginald_Denny" target="_blank" rel="ugc noopener noreferrer">attack on the truck driver Reginald Denny</a> during the riots in LA (skip to 11:00 for the story).</p> </li> <li><p>Here is the <a href="https://ntrs.nasa.gov/api/citations/19880001113/downloads/19880001113.pdf" target="_blank" rel="ugc noopener noreferrer">paper</a> on the level set method.</p> </li> <li><p>The company Stan cofounded, Luminescent Technologies, Inc, used the level set method for inverse lithography technology.</p> </li> </ul> <ul> <li><p>Here is a <a href="https://arxiv.org/pdf/math/0409186" target="_blank" rel="ugc noopener noreferrer">paper</a> by Candes, Romberg and Tao on compressed sensing, providing rigorous theory for use of the L1 norm.</p> </li> <li><p>An example of "thinking continuously rather than discretely" is the analysis of Su, Boyd, and Candes in providing a short and simple proof for Nesterov acceleration in the continuous setting via a continuous ODE (see Theorem 3 in this <a href="https://arxiv.org/pdf/1503.01243" target="_blank" rel="ugc noopener noreferrer">paper</a>).</p> </li> </ul>
November 15, 2024
Welcome to Numerical Optimization
<p>Our mission is to inspire the development of new math research aimed at solving real-world problems. We do this by sharing fun stories behind math formulas and the places they show up.</p>
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