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VERSION:2.0
PRODID:-//University of Utah Math Department//Solving Underdetermined Linear Systems with Highly Correlated Columns//EN
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METHOD:PUBLISH
X-WR-CALNAME:Solving Underdetermined Linear Systems with Highly Correlated Columns
X-WR-CALDESC:Solving Underdetermined Linear Systems with Highly Correlated Columns at University of Utah Mathematics Department
X-WR-TIMEZONE:America/Denver
BEGIN:VEVENT
UID:20160223T160000-veniamin-morgenshtern@math.utah.edu
DTSTART;TZID=America/Denver:20160223T160000
DTEND;TZID=America/Denver:20160223T170000
DTSTAMP:20260922T150858Z
SUMMARY:Solving Underdetermined Linear Systems with Highly Correlated Columns
DESCRIPTION:Speaker: Veniamin Morgenshtern\, Stanford University\n\nThis talk will consist of two parts. In the first part, I will review the simplest classical result on sparse signal recovery from incomplete data (compressed sensing). Underlying this result is the basic assumption that the columns of the measurment (design) matrix are only weakly correlated. This …

LOCATION:LCB 219

URL:https://www.math.utah.edu/research/colloquia/2016-02-23-veniamin-morgenshtern/
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