Geometric integration and its applications
C.J. Budd and M.D. Piggott
To appear in Foundations of Computational Mathematics, a volume of the
Handbook of Numerical Analysis, ed. Ph.G. Ciarlet and F. Cucker,
published by Elsevier Science.
Abstract:
This review aims to give an introduction to the relatively
new area of numerical analysis called geometric integration.
This is an overall title applied to a series of numerical methods
that aim to preserve the qualitative (and geometrical)
features of a differential equation when it is discretised.
As the importance of different qualitative features is a rather
subjective judgement, a discussion of the qualitative theory
of differential equations in general is given first.
The article then develops both the underlying theory of
geometrical integration methods
and then illustrates their effectiveness on a wide ranging set of
examples, looking at both ordinary and partial differential
equations.
Methods are developed for symplectic ODEs and PDEs, differential
equations with symmetry, differential equations with conservation
laws and problems which develop singularities and sharp interfaces.
It is shown that there are clear links between geometrically
based methods and adaptive methods (where adaptivity is
applied both in space and in time).
A case study is given at the end of this article on the
application of geometrical integration methods to
problems arising in meteorology. From this we can see
the advantages (and the disadvantages) of the geometric
approach.
Submitted by cjb@maths.bath.ac.uk Mon, 17 Sep 2001
Email of authors:
cjb@maths.bath.ac.uk
mapmdp@maths.bath.ac.uk
URL of author:
http://www.maths.bath.ac.uk/~cjb/
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2000-009