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DTSTAMP:20190719T085754Z
LOCATION:HG F 1
DTSTART;TZID=Europe/Stockholm:20190612T111500
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UID:submissions.pasc-conference.org_PASC19_sess107@linklings.com
SUMMARY:AP01 - ACM Papers
DESCRIPTION:Paper\nComputer Science and Applied Mathematics\n\nPreconditio
 ning Nonlinear Conjugate Gradient with Diagonalized Quasi-Newton\n\nDener,
  Denchfield, Munson, Wild\n\nNonlinear conjugate gradient (NCG) methods ca
 n generate search directions using only first-order information and a few 
 dot products, making them attractive algorithms for solving large-scale op
 timization problems. However, even the most modern NCG methods can require
  large numbers of iterations and,...\n\n---------------------\nTowards Dat
 a-Driven Dynamic Surrogate Models for Ocean Flow\n\nEdeling, Crommelin\n\n
 Coarse graining of (geophysical) flow problems is a necessity brought upon
  us by the wide range of spatial and temporal scales present in these prob
 lems, which cannot be all represented on a numerical grid without an inord
 inate amount of computational resources. Traditionally, the effect of the 
 unre...\n
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