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SUMMARY:Natasa Krejic (Faculty of Science\, University of Novi Sad\, Serbi
 a)
DTSTART:20201210T120000Z
DTEND:20201210T125000Z
DTSTAMP:20260423T004138Z
UID:WMSEE/3
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/WMSEE/3/">In
 exact Restoration Methods for Finite Sum Minimization</a>\nby Natasa Kreji
 c (Faculty of Science\, University of Novi Sad\, Serbia) as part of Women 
 in Mathematics in South-Eastern Europe\n\n\nAbstract\nConvex and nonconvex
  finite-sum minimization arises in many scientific computing and machine l
 earning applications. Recently\, first-order and second-order methods wher
 e objective functions\, gradients and Hessians are approximated by randoml
 y sampling components of the sum have received great attention. We discuss
  a class of methods which employs suitable approximations of the objective
  function\, gradient and Hessian built via random subsampling techniques. 
 The choice of the sample size is deterministic and ruled by the Inexact Re
 storation approach. Local and global properties for finding approximate fi
 rst- and second-order optimal points and function evaluation complexity re
 sults are discussed in the framework of line search and trust region metho
 ds.\n
LOCATION:https://researchseminars.org/talk/WMSEE/3/
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