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DTSTART;TZID=America/Los_Angeles:20201102T150000
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DTSTAMP:20260505T151645
CREATED:20200813T013923Z
LAST-MODIFIED:20201024T182755Z
UID:1932-1604329200-1604332800@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Numerical approximation of statistical solutions of hyperbolic systems of conservation laws given by Professor Franziska Weber (Carnegie Mellon University)
DESCRIPTION:Statistical solutions are time-parameterized probability\nmeasures on spaces of integrable functions\, which have been proposed\nrecently as a framework for global solutions for multi-dimensional\nhyperbolic systems of conservation laws. We present a numerical algorithm\nto approximate statistical solutions of conservation laws and show that\nunder the assumption of ‘weak statistical scaling’\, which is inspired by\nKolmogorov’s 1941 turbulence theory\, the approximations converge in an\nappropriate topology to statistical solutions. We will show numerical\nexperiments which indicate that the assumption might hold true.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-professor-franziska-weber-carnegie-mellon-university/
LOCATION:Zoom
CATEGORIES:Applied Math Seminar
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DTSTART;TZID=America/Los_Angeles:20201104T161500
DTEND;TZID=America/Los_Angeles:20201104T173000
DTSTAMP:20260505T151645
CREATED:20200901T182037Z
LAST-MODIFIED:20200910T152242Z
UID:2018-1604506500-1604511000@colleges.claremont.edu
SUMMARY:Prof. Sarah Marzen
DESCRIPTION:Title: Training dynamical systems to predict their input \nAbstract: Evolved systems seem to predict their environment.  Even bacteria can implicitly predict future concentrations of scarce sugar or antibiotics\, and emerging evidence suggests that even our retinae are able to predict what we see.  How?  We explore some basic design principles for what causes a system to predict its input\, finishing with a call to arms for mathematicians to develop a better framework for understanding input-dependent dynamical systems or recurrent networks. \nProf. Marzen is Assistant Professor of Physics at Claremont’s Keck Science Department.
URL:https://colleges.claremont.edu/ccms/event/prof-sarah-marzen/
LOCATION:Zoom
CATEGORIES:Colloquium
ORGANIZER;CN="Helen Wong":MAILTO:hwong@cmc.edu
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