From: hartmann
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-@Article{HH01,
- author = {Ralf Hartmann and Paul Houston},
- title = {Adaptive Discontinuous {G}alerkin Finite Element Methods for Nonlinear Hyperbolic Conservation Laws},
- journal = {SIAM J. Sci. Comp.},
- year = {2002},
- volume = 24,
- pages = {979--1004}
-}
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diff --git a/deal.II/doc/publications/2001/hh-1.html b/deal.II/doc/publications/2001/hh-1.html
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-Abstract:
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-Ralf Hartmann
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2000-05-04
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diff --git a/deal.II/doc/publications/2001/hh-2.bib b/deal.II/doc/publications/2001/hh-2.bib
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-@Article{HH02,
- author = {Ralf Hartmann and Paul Houston},
- title = {Adaptive Discontinuous {G}alerkin Finite Element Methods for the Compressible {E}uler Equations},
- journal = {J. Comp. Phys.},
- year = 2002,
- volume = 183,
- number = 2,
- pages = {508--531},
- month = {Dec.}
-}
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diff --git a/deal.II/doc/publications/2001/hh-2.html b/deal.II/doc/publications/2001/hh-2.html
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-Abstract:
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-Ralf Hartmann
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2001-12-18
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diff --git a/deal.II/doc/publications/2001/hh_enumath.bib b/deal.II/doc/publications/2001/hh_enumath.bib
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-@InProceedings{HH01a,
- author = {Paul Houston and Ralf Hartmann},
- title = {Goal--Oriented A Posteriori Error Estimation for Compressible Fluid Flows},
- booktitle = {Numerical Mathematics and Advanced Applications},
- pages = {775--784},
- year = 2003,
- editor = {F. Brezzi and A. Buffa and S. Corsaro and A. Murli},
- publisher = {Springer}
-}
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diff --git a/deal.II/doc/publications/2001/hh_enumath.html b/deal.II/doc/publications/2001/hh_enumath.html
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-Abstract:
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-Ralf Hartmann
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2000-12-03
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diff --git a/deal.II/doc/publications/2002/hartmann-1.bib b/deal.II/doc/publications/2002/hartmann-1.bib
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-@PhdThesis{Har02,
- author = {Ralf Hartmann},
- title = {Adaptive Finite Element Methods for the
- Compressible Euler Equations},
- school = {University of Heidelberg},
- year = 2002
-}
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diff --git a/deal.II/doc/publications/2002/hartmann-1.html b/deal.II/doc/publications/2002/hartmann-1.html
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-Abstract:
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-In particular, this work includes following issues
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comparison with respect to
- accuracy and conservation properties
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- A posteriori error estimation and adaptivity: -
Numerical Examples illustrating the performance of the - error estimation and the adaptive grid refinement for a wide range - of hyperbolic problems including -
- Appendices -
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- -@InProceedings{HH02a, - author = {Ralf Hartmann and Paul Houston}, - title = {Goal-Oriented A Posteriori Error Estimation for Multiple Target Functionals}, - booktitle = {Hyperbolic problems: theory, numerics, applications}, - pages = {579-588}, - year = 2003, - editor = {Thomas Y. Hou and Eitan Tadmor}, - publisher = {Springer}, -} - -diff --git a/deal.II/doc/publications/2002/hh_hyp2002.html b/deal.II/doc/publications/2002/hh_hyp2002.html deleted file mode 100644 index e46eb7c01d..0000000000 --- a/deal.II/doc/publications/2002/hh_hyp2002.html +++ /dev/null @@ -1,45 +0,0 @@ - - - - - - - - -
- In many applications the quantities of interest are a series of
- target functionals of the solution to the governing system of
- partial differential equations rather than the solution itself. For
- example, in the field of aerodynamics, examples include the drag and
- lift coefficients of an airfoil immersed into a fluid, the pressure
- difference between the leading and trailing edges of the airfoil and
- point evaluations of the density or pressure on the profile of the
- airfoil. While traditionally these quantities are measured in wind
- tunnel experiments, nowadays these experiments are increasingly
- replaced by numerical simulations aiming to predict these quantities
- to a high level of accuracy.
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- In a series of previous articles, we have developed the theory of
- goal--oriented a posteriori error estimation for
- discontinuous Galerkin methods applied to inviscid compressible
- fluid flows. On the basis of Type I a posteriori bounds we
- considered the design of adaptive finite element algorithms that are
- capable of generating optimal meshes specifically tailored to the
- efficient computation of a single target functional of
- practical interest. The purpose of the current article is to extend
- this earlier work to the case when several target
- functionals of the solution need to be simultaneously approximated
- to a given level of accuracy.
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