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BEGIN:VEVENT
UID:20260624T014718EDT-3926gdBbj7@132.216.98.100
DTSTAMP:20260624T054718Z
DESCRIPTION:Title: On Modified Conjugate Gradient Algorithms for Large-Scal
 e Unconstrained Optimization\n\nAbstract: The well-known class of conjugat
 e gradient (CG) line search methods for large-scale unconstrained optimiza
 tion will be analyzed and simple examples will be used to illustrate its a
 dvantages and disadvantages. Then some recent techniques will be introduce
 d to this class to obtain certain useful properties of the modified CG met
 hods. It will be shown\, in particular\, that certain techniques enforced 
 the global convergence property to most members of the CG class of methods
 . Numerical results for a selection of CG algorithms and their modificatio
 ns (in particular those of Fletcher-Reeves\, Polak-Ribie’re and Hestenes-S
 tiefel methods) will be described. It will be shown that the proposed tech
 niques improve the performance of several CG algorithms substantially.\n
DTSTART:20190611T200000Z
DTEND:20190611T210000Z
LOCATION:Room 1104\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Mehiddin Al-Baali\, Department of Mathematics\, Sultan Qaboos Unive
 rsity\, Muscat\, Oman
URL:/mathstat/channels/event/mehiddin-al-baali-departm
 ent-mathematics-sultan-qaboos-university-muscat-oman-297679
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