MAGIC098: Adaptive Finite Element Methods

Course details

Semester

Autumn 2018
Monday, October 8th to Friday, December 14th

Hours

Live lecture hours
10
Recorded lecture hours
0
Total advised study hours
40

Timetable

Mondays
10:05 - 10:55

Description

The main prerequisite is a strong motivation to undertake research related in modern aspects functional approximation theory, data compression, related algorithms, or the numerical analysis of partial differential equations.
A solid background in undergraduate analysis and partial differential equations, some basic functional or harmonic analysis, or numerical analysis will be useful.

Prerequisites

Requirements are standard year 3 or master's level Analysis and some knowledge of elliptic partial differential equations.
Exposure to Galerkin or finite element methods (as taught in spring term MAGIC-100 or equivalent) will be helpful though not essential. "Review" material will be uploaded.

Syllabus

We start by reviewing the standard Galerkin method with a focus on numerical approximation methods such as wavelet Galekrin, finite elements and discontinuous Galerkin for elliptic and parabolic equations, including the needed element of functional analysis, e.g., Sobolev and Besov spaces. We then recall the apriori error analysis of such methods and move onto aposteriori error analysis. We follow up this with an overview of the literature on adaptive methods and their convergence analysis with a focus on complexity of algorithms. Time allowing we look at connections between wavelet and Galerkin methods or space-time methods for parabolic (perhaps hyperbolic) problems. (NB to be reduced to 10 hours)

Lecturers

  • Dr Omar Lakkis

    Dr Omar Lakkis

    University
    University of Sussex
    Role
    Main contact
  • CV

    Dr Chandrasekhar Venkataraman

    University
    University of Sussex

Bibliography

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Assessment

Description

Assessment will consist in a project divided in two parts. The title is
Hierarchical Bank-Weiser or Verfürth estimators for P1 elements
* part 1: theory (100This part consists, requires understanding and being able to work out the technical details of section 1.8 in the book of Verfürth (2013). A question that is not treated in the book will also be included.
* part 2: numerics (100This part consists in a practical implementation and testing of the Heirarchical estimators with a software of your choice.
Total assessment is 200

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Files

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Lectures

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