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Sander, Oliver
dune-gfe
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abf309725f0dd849c2321317e746c19a64efd3aa
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20
bugfix/fix_rigidbodymotion_difference
decasteljau
feature/ARRN-mod
feature/HM-numericalBenchmark
feature/HarmonicmapsBenchmark
feature/SimoFoxWithLocalFEfunctions
feature/bendingIsometries
feature/bendingIsometries-PBFE-Stiefel
feature/harmonicmapsAddons
feature/introduceRetractionNotion
feature/riemannianTRaddons
feature/simofoxBook
fix-fd-gradient-scaling
fix_localrodassembler_compiler_error
issue/vtk-namespace
make_rod-eoc_run
master
default
releases/2.0-1
releases/2.1-1
releases/2.10
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Created with Raphaël 2.2.0
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Jul
implement fd gradient
new method projectOntoTangentSpace
various fixes computing the energy
removed some dead code
use method globalCoordinates() in the fd approximation of the tangent
make a specialization for TargetSpace==UnitVector. I hope this doesn't have to stay forever
introduce method globalCoordinates()
remove some old code
New local copy of LocalStiffness needs less initialization
localstiffness.hh copied here from dune-disc and stripped of everything we don't need
headercheck fixes
export ctype, the type used for coordinates
decrease tr solver tolerance
various fixes in derivativeOfDistanceSquaredWRTSecondArgument()
Test UnitVectors
implement derivativeOfDistanceSquaredWRTSecondArgument(). Not tested yet
fix memory leak by using an auto_ptr for the inner solver
implement derivativeOfDistanceSquaredWRTSecondArgument()
rewrite the gradient assembler such as to demand the derivative of the _squared_ distance from the target space. Unlike the distance itself, the squared distance is differentiable at zero
implement matrix assembly by simply returning the identity matrix. This should a sort of projected gradient descent. It is too late at night for me to compute the actual matrix
implement gradient of distance function
assemble gradient of functional
bugfix: properly set matrix and rhs sizes
bugfix: set member 'assembler_'
activate the solve()-method and make it compile
inherit at least from NumProc
implement the exponential map
implement the exponential map. Use a FieldVector to store the data instead of Dune::array
add more consts
implement the Riemannian distance
method value() is const
run and don't crash
start a generic implementation
implement the distance metric
activate evaluate() method again
Unit vectors in R^n, or, equivalently, members of S^{n-1}
added missing call-by-reference
Test RealTuples as well
A rudimentary class implementing tuples of real numbers as a Riemannian manifold. Mainly for testing
fix a warning
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