Applied Math Colloquium

<p><strong><span>Market Dynamics and Investment in the Electricity Sector</span></strong><br />
<span>Stanley Reynolds, Department of Economics, University of Arizona</span></p>

<p><strong><span>CANCELLED - Optimizing MCMC Methods for High-Dimensional Parameter Spaces</span></strong><br />
Peter Behoozi, Astronomy, University of Arizona</p>

<p><strong><span>Distributed Algorithms for Optimization in Networks</span></strong><br />
Angelia Nedich, School of Electrical, Computer and Energy Engineering, Arizona State University</p>

<p><strong><span>How do transformer networks encode linguistic knowledge?</span></strong><br />
<span>Steven Bethard, School of Information, University of Arizona<span>&nbsp; </span></span></p>

<p><strong><span>Dynamics of miscible flows on networks</span></strong><br />
Jean-Guy Caputo, INSA Rouen Normandie, France</p>

<p><strong><span>On stochastic and risk averse optimization in networks under incomplete information</span> </strong><br />
<span>Pavlo Krokhmal, Systems and Industrial Engineering, University of Arizona</span></p>

<p><strong><span>The Computational Physics Division at Los Alamos National Laboratory&nbsp; </span></strong><br />
Mark Schraad, Dan Israel, Chris Werner, Rosalyn Rael<br />
Los Alamos National Laboratory</p>

<p><strong><span>Algorithms and Metaphors for Graph Visualization</span></strong><br />
<span>Stephen Kobourov, Computer Science, University of Arizona</span></p>

<p><strong>The Legacy Of Rudolph Kalman: From Navigation Through Weather Forecasting To Machine Learning</strong><br />
<span>Andrew Stuart, Computing and Mathematical Sciences, Cal Tech</span></p>

<p><strong><span>Developing Measurably Effective Technical Training Programs in Industry</span></strong><br />
Tod Newman, Lead, Raytheon Center for Artificial Intelligence and Machine Learning, Raytheon</p>