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Established in 2020, POSTECH Mathematical Institute for Data Science (MINDS) is the community of researchers in the areas of fundamental data science, machine learning, artificial intelligence, scientific computing, and humanitarian data science. MINDS mission is to provide a platform for collaboration among researchers and to provide various opportunities for students in data science. MINDS also aims to use our data science research to serve our local and global communities pursuing humanitarian data science.

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MINDS SEMINAR

MINDS Seminar Series | JaEun Ku (Oklahoma State University) - Dual finite element methods for singularly perturbed reaction-diffusion problems.

MINDS SEMINAR
period : 2023-10-17 ~ 2023-10-17
time : 17:00:00 ~ 18:00
개최 장소 : Math Bldg 404 & Online streaming (Zoom)
Topic : Dual finite element methods for singularly perturbed reaction-diffusion problems.
개요
Date 2023-10-17 ~ 2023-10-17 Time 17:00:00 ~ 18:00
Speaker JaEun Ku Affiliation Oklahoma State University
Place Math Bldg 404 & Online streaming (Zoom) Streaming link ID : 688 896 1076 / PW : 54321
Topic Dual finite element methods for singularly perturbed reaction-diffusion problems.
Contents Recently, dual finite element methods are developed for accurate and efficient approximations of solutions of singularly pertubed reaction-diffusion problems. The methods only approximate the dual variables without approximating the primary variable. An approximation for the primary variable can be recovered through a simple local $L_2$ projection. The methods provide a competitive alternative to the other existing numerical methods. For examples, the approximation solution for the primary variable does not show numerical oscillation, which is observed in the standard Galerkin methods. The first part of this talk introduces the dual finite element methods, and the second part presents various a priori and a posteriori error estimates including guaranteed upper bounds for dual approximation.
MinDS MinDS · 2023-09-20 08:29 · Views 500

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