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Jonathan Hauenstein, University of Notre Dame, Energy landscapes and algebraic geometry

May 11 | 4:30 pm - 5:30 pm EDT

Broadly speaking, an energy landscape is the graph of a loss function over a parameter space.  Some examples include the potential energy landscape of a chemical reaction, measuring the fitness of a mechanism to perform many tasks, and a loss function arising from a training set in machine learning.  This talk will discuss some successes of using computational techniques arising in numerical algebraic geometry to analyze both polynomial and non-polynomial energy landscapes arising in science and engineering applications.


Recorded Zoom Talk


May 11
4:30 pm - 5:30 pm EDT
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