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PRODID:-//University of Utah Math Department//Ensemble Kalman Methods and Structured Operator Estimation//EN
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X-WR-CALNAME:Ensemble Kalman Methods and Structured Operator Estimation
X-WR-CALDESC:Ensemble Kalman Methods and Structured Operator Estimation at University of Utah Mathematics Department
X-WR-TIMEZONE:America/Denver
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UID:20241003T160000-daniel-sanz-alonso@math.utah.edu
DTSTART;TZID=America/Denver:20241003T160000
DTEND;TZID=America/Denver:20241003T170000
DTSTAMP:20260922T150857Z
SUMMARY:Ensemble Kalman Methods and Structured Operator Estimation
DESCRIPTION:Speaker: Daniel Sanz-Alonso\, University of Chicago\n\nData assimilation is concerned with estimating the state of a dynamical system from partial observations. In applications such as numerical weather prediction where the state is high dimensional and the dynamics are expensive to simulate, ensemble Kalman filters are often the method of choice. In …

LOCATION:JWB 335

URL:https://www.math.utah.edu/research/colloquia/2024-10-03-daniel-sanz-alonso/
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