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UID:645@fds.yale.edu
DTSTART;TZID=America/New_York:20241106T113000
DTEND;TZID=America/New_York:20241106T130000
DTSTAMP:20250916T142142Z
URL:https://fds.yale.edu/events/fds-colloquium-jinchao-xu-kaust-penn-state
 /
SUMMARY:CANCELLED: FDS Colloquium: Jinchao Xu (KAUST/Penn State)
DESCRIPTION:Abstract:\n\n\n\nBio: Jinchao Xu is a Professor of Applied Math
 ematics and Computational Sciences at King Abdullah University of Science 
 and Technology (KAUST)\, where he also serves as the Director of the KAUST
  Innovation Hub in Shenzhen and the KAUST-SRIBD Joint Lab for Scientific C
 omputing and Machine Learning. An esteemed scholar\, Xu is a Fellow of the
  Society for Industrial and Applied Mathematics (SIAM)\, the American Math
 ematical Society (AMS)\, the American Association for the Advancement of S
 cience (AAAS)\, the European Academy of Sciences (EURASC)\, and the Academ
 ia Europaea. His research focuses on numerical methods for partial differe
 ntial equations\, multigrid methods\, and the intersection of machine lear
 ning with scientific computing.\n\n\n\nXu is widely recognized for his con
 tributions to numerical analysis\, particularly in developing precondition
 ers and algorithms that bear his name\, including the Bramble-Pasciak-Xu (
 BPX) preconditioner and the Hiptmair-Xu (HX) preconditioner. He has recent
 ly turned his focus to deep learning\, contributing to the theoretical und
 erstanding and practical applications of neural networks\, including pione
 ering work on the MgNet architecture for image classification. Xu has publ
 ished nearly 200 research papers and continues to push the boundaries of c
 omputational mathematics and machine learning.\n
CATEGORIES:FDS Events,Colloquium
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