MS-Mo-D-22
Recent Advances in A Posteriori Error Estimation and Adaptive Methods - Part I of II
For Part II, see MS-Mo-E-22

Date: August 10
Time: 13:30--15:30
Room: 206A

(Note: Click title to show the abstract.)

Organizer:
Zhang, Shun (City Univ. of Hong Kong)
Cai, Zhiqiang (Purdue Univ.)

Abstract: Self-adaptive numerical methods provide a powerful and automatic approach in scientific computing. In particular, Adaptive Mesh Refinement (AMR) algorithms have been widely used in computational science and engineering and have become a necessary tool in computer simulations of complex natural and engineering problems. The key ingredient for success of self-adaptive numerical methods is a posteriori error estimates that are able to accurately locate sources of global and local error in the current approximation. Talks in this mini-symposium will cover some recent advances in the development and analysis of both a posteriori estimators and (convergent) adaptive schemes, as well as indicate directions of future research.


MS-Mo-D-22-1
13:30--14:00
Robust and optimal a priori and a posteriori error estimats for diffusion equations with discontinuous coefficients
Zhang, Shun (City Univ. of Hong Kong)


MS-Mo-D-22-2
14:00--14:30
Robust a Posteriori Error Estimates for HDG method for Convection-Diffusion Equations
Qiu, Weifeng (City Univ. of Hong Kong)
Chen, Huangxin (Xiamen Univ.)


MS-Mo-D-22-3
14:30--15:00
A posteriori error estimation using auxiliary subspace techniques
Ovall, Jeffrey (Portland State Univ.)


MS-Mo-D-22-4
15:00--15:30
Optimality of adaptive finite element methods for controlling local energy errors
Demlow, Alan (Texas A&M Univ.)

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Footnote:
Code: Type-Date-Time-Room No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:30-9:30, B=10:00-11:00, C=11:10-12:10, BC=10:00-12:10, D=13:30-15:30, E=16:00-18:00, F=19:00-20:00, G=12:10-13:30, H=15:30-16:00
Room No.: TBA