[[Imported from SVN: r5548]]

[[Imported from SVN: r5547]]

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

[[Imported from SVN: r5546]]

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

[[Imported from SVN: r5545]]

[[Imported from SVN: r5543]]

[[Imported from SVN: r5542]]

[[Imported from SVN: r5541]]

[[Imported from SVN: r5540]]

[[Imported from SVN: r5535]]

[[Imported from SVN: r5534]]

[[Imported from SVN: r5533]]

[[Imported from SVN: r5532]]

[[Imported from SVN: r5531]]

[[Imported from SVN: r5530]]

[[Imported from SVN: r5529]]

[[Imported from SVN: r5528]]

[[Imported from SVN: r5527]]

[[Imported from SVN: r5526]]

[[Imported from SVN: r5525]]

[[Imported from SVN: r5524]]

[[Imported from SVN: r5516]]

[[Imported from SVN: r5515]]

A rudimentary class implementing tuples of real numbers as a Riemannian manifold.  Mainly for testing

[[Imported from SVN: r5514]]

[[Imported from SVN: r5513]]

Factor out the actual test into a separate method.  This paves the way for testing more target spaces

[[Imported from SVN: r5512]]

remove code for interpolation via recursive geodesics.  It is invariant under permutation of the vertices

[[Imported from SVN: r5511]]

[[Imported from SVN: r5510]]

[[Imported from SVN: r5494]]

[[Imported from SVN: r5493]]

[[Imported from SVN: r5492]]

[[Imported from SVN: r5480]]

[[Imported from SVN: r5479]]

[[Imported from SVN: r5478]]

[[Imported from SVN: r5477]]

[[Imported from SVN: r5476]]

[[Imported from SVN: r5374]]

[[Imported from SVN: r5371]]

[[Imported from SVN: r5347]]

[[Imported from SVN: r5324]]

[[Imported from SVN: r5323]]