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PRODID:-//pretalx//pretalx.com//juliacon-2022//speaker//39MLZ3
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UID:pretalx-juliacon-2022-YBH93M@pretalx.com
DTSTART:20220728T193000Z
DTEND:20220728T194000Z
DESCRIPTION:We present LowRankArithmetic.jl and LowRankIntegrators.jl. The 
 conjunction of both packages forms the backbone of a computational infrast
 ructure that enables simple and non-intrusive use of dynamical low rank ap
 proximation for on-the-fly compression of large matrix-valued data streams
  or the approximate solution of otherwise intractable matrix-valued ODEs. 
 We showcase the utility of these packages for the quantification of uncert
 ainty in scientific models.
DTSTAMP:20260310T181942Z
LOCATION:Red
SUMMARY:Dynamical Low Rank Approximation in Julia - Flemming Holtorf
URL:https://pretalx.com/juliacon-2022/talk/YBH93M/
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BEGIN:VEVENT
UID:pretalx-juliacon-2022-QJ8YRN@pretalx.com
DTSTART:20220729T173000Z
DTEND:20220729T174000Z
DESCRIPTION:We present MarkovBounds.jl -- a meta-package to SumOfSquares.jl
  which enables the computation of guaranteed bounds on the optimal value o
 f a large class of stochastic optimal control problems via a high-level\, 
 practitioner-friendly interface.
DTSTAMP:20260310T181942Z
LOCATION:JuMP
SUMMARY:Stochastic Optimal Control with MarkovBounds.jl - Flemming Holtorf
URL:https://pretalx.com/juliacon-2022/talk/QJ8YRN/
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