dual order hp finite element
C Python C++ Objective-C
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cmake-modules @ 1ca5c64 Update cmake-modules for FindPETSc.cmake on Win32 Mar 11, 2013
docs Add a warning to ancient design document Apr 12, 2011
include dFunctionBegin: hide when not PETSC_USE_DEBUG Mar 16, 2013
sandbox viewers, implementation headers, initialization Nov 8, 2009
src VHT header order dependence Mar 16, 2013
.gitignore Ignore Python module files *.pyc Apr 21, 2011
.gitmodules Update cmake-modules for FindPETSc.cmake on Win32 Mar 11, 2013
CMakeLists.txt Call libm directly, so must link it directly Oct 11, 2012
README
TestWithReference.sh Add hook to TestWithReference.sh so I can update test output with DIF… Oct 21, 2011
dohpconfig.h.in Add build system support to distinguish ITAPS components Jun 13, 2011

README

Dohp aims to be a very efficient implementation of the hp-version of the
finite element method.  It exploits the tensor product structure of
nodal bases on hexahedra to significantly reduce the memory requirements
and computational cost compared to low-order elements.  It typically
forms a preconditioning matrix using an embedded Q1 discretization,
which is much sparser than Q2 elements. Preliminary results show that
memory and solver runtime for arbitrary order (2-10 or so) is half that
required by a standard Q2 approximation. The methods are summarized in
[1] and Dohp is used to solve nonlinear eigenproblems in [2].

Dohp currently depends on development versions of PETSc [3] and MOAB [4].
Additionally, some tests depend on SymPy [5] to manufacture the forcing
terms for exact solutions.

If you are interested in Dohp, please let me know (jed at 59A2 dot org)
and I'll fill you in on the design and how to get it installed (and
update this README).

[1] http://dx.doi.org/10.1007/s10915-010-9396-8
[2] http://dx.doi.org/10.1007/s10915-011-9540-0 or http://arxiv.org/pdf/1011.3172v2
[3] http://mcs.anl.gov/petsc
[4] http://trac.mcs.anl.gov/projects/ITAPS
[5] http://sympy.org