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X-ORIGINAL-URL:https://colleges.claremont.edu/ccms
X-WR-CALDESC:Events for Claremont Center for the Mathematical Sciences
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201102T150000
DTEND;TZID=America/Los_Angeles:20201102T160000
DTSTAMP:20260413T163814
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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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201104T161500
DTEND;TZID=America/Los_Angeles:20201104T173000
DTSTAMP:20260413T163814
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201109T150000
DTEND;TZID=America/Los_Angeles:20201109T160000
DTSTAMP:20260413T163814
CREATED:20200813T015750Z
LAST-MODIFIED:20201029T042740Z
UID:1947-1604934000-1604937600@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Multiscale analysis and high-order schemes for nonlinear multilevel Maxwell-Bloch equations given by Prof. Qing Xia (Rensselaer Polytechnic Institute)
DESCRIPTION:In this talk\, we will present a recent study of the\nMaxwell-Bloch equations that model the nonlinear interactions of light and\nmatter\, where the light is modeled classically by the Maxwell’s equations\nwith dispersions and the medium is modeled quantum-mechanically by the\nmultilevel rate equations. We will show the connection between rate\nequations and the density matrix\, where the former formulation is widely\nused in the engineering community and the latter in the Physics\nliterature. A multiscale analysis of the Maxwell-Bloch equations based on\nasymptotic expansions will also be discussed. The resulting reduced\nenvelope equations (or slow equations) capture amplitude dynamics of the\nunderlying solutions accurately and efficiently. In addition\, we will talk\nabout high-order accurate numerical schemes based on finite difference\napproximations in space and modified equation approach in time. The\nproposed schemes allow point-wise update of the solutions for both single\ndomains and domains with material interfaces\, thus enabling superb\nparallelism for arbitrary geometry. This is joint work with A. V.\nKildishev and L. J. Prokopeva from Purdue’s Birck Nanotechnology Center\,\nand J. W. Banks\, W. D. Henshaw\, G. Kovacic and D. W. Schwendeman from RPI.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-give-by-prof-qing-xia-rensselaer-polytechnic-institute/
LOCATION:Zoom
CATEGORIES:Applied Math Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201111T161500
DTEND;TZID=America/Los_Angeles:20201111T171500
DTSTAMP:20260413T163814
CREATED:20200820T205435Z
LAST-MODIFIED:20201102T180630Z
UID:1992-1605111300-1605114900@colleges.claremont.edu
SUMMARY:Prof. Eva Kanso
DESCRIPTION:Title: Sea star locomotion \nAbstract: The oral surface of sea stars (starfish) is lined with arrays of tube feet that enable them to achieve highly controlled locomotion on various terrains and to even gallop and bounce. The activity of the tube feet is orchestrated by a nerve net that is distributed throughout the body; there is no central brain. How such a decentralized nervous system produces a coordinated locomotion is yet to be understood. To examine the sensorimotor control underlying the sea star locomotory behavior\, we developed mathematical models of the biomechanics and sensorimotor control of the tube feet. In these models\, the feet are soft actuators that are coupled mechanically through their structural connection to the sea star body\, and whose power and recovery strokes are dictated by local sensori-feedback control loops. We found that these minimally-coupled tube feet coordinate to generate robust forward locomotion\, reminiscent of the crawling motion of sea stars. We also found that the sea star model can transition from crawling to bouncing\, and it can robustly locomote on various terrains\, and under various heterogeneity in the tube feet parameters and initial conditions\, akin to experimental observations. These findings improve our understanding of the Echinoderms decentralized nervous system and could lead to novel designs and control rules for autonomous robotic systems. \nProf. Eva Kanso is a Professor and the Z.H. Kaprielian Fellow in Aerospace and Mechanical Engineering at the University of Southern California.
URL:https://colleges.claremont.edu/ccms/event/prof-eva-kanso/
LOCATION:Zoom
CATEGORIES:Colloquium
ORGANIZER;CN="Helen Wong":MAILTO:hwong@cmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201118T161500
DTEND;TZID=America/Los_Angeles:20201118T173000
DTSTAMP:20260413T163814
CREATED:20200917T150401Z
LAST-MODIFIED:20201109T195216Z
UID:2033-1605716100-1605720600@colleges.claremont.edu
SUMMARY:Prof. Gregory DeAngelo
DESCRIPTION:Title:  The Effect of Criminal Justice Decisions on Community Safety \nAbstract: During this talk we will\, time permitting\, examine several law enforcement actor’s impact on community safety\, including law enforcement\, prosecutors and judges. To start\, we examine the impact of law enforcement race and gender on use of force. We first show that conditioning on arrests has the potential to greatly impact the results obtained. Instead\, we make use of an instrumental variable approach to examine the as-if random assignment of officers to calls for service. Leveraging this randomness\, we identify the effect of officer race and gender on the likelihood that force is used during the call. Next\, we focus our attention on prosecutors and leverage a unique situation where prosecutors are no longer able to pursue low-level drug charges. In the absence of such charges\, we examine the impact of not prosecuting low-level drug offenses on drug overdoses and drug abuse admissions. Finally\, we examine the effect of an exogenous increase in judge salaries on the likelihood that cases are overturned on appeal. \nProf. Gregory DeAngelo is an Associate Professor of Economic Sciences at the Claremont Graduate University
URL:https://colleges.claremont.edu/ccms/event/prof-gregory-deangelo/
LOCATION:CA
CATEGORIES:Colloquium
ORGANIZER;CN="Andrew Bernoff":MAILTO:ajb@hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201123T150000
DTEND;TZID=America/Los_Angeles:20201123T160000
DTSTAMP:20260413T163814
CREATED:20200813T053915Z
LAST-MODIFIED:20201008T184544Z
UID:1958-1606143600-1606147200@colleges.claremont.edu
SUMMARY:Social hour
DESCRIPTION:Join us for a social hour with applied mathematicians at Claremont Colleges and University of Utah.
URL:https://colleges.claremont.edu/ccms/event/applied-math-talk-given-by-professor-alan-e-lindsay/
LOCATION:CA
CATEGORIES:Applied Math Seminar
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