Dear all,
A question on extracting and manipulating data from vector-valued
solution vectors.
My application case is similar to step-36 of the tutorial; except (i)
My problem is a vector valued solution; which, I think, means that my
lowest $N$ eigenvector solutions are all contained within a single
vector-valued solution (which is the lowest eigenfunction of the
generalized eigenspectrum problem).
(i) I am required to extract each vector from the vector-valued
solution and normalize him given that $\int_\Omega |\phi_i|^2 dx =
1$ $\forall 0 <= i < N$. I am sure I can do this directly on the
solution vector since it is not necessary to do any projections with
finite element values.
How is this possible? I have (up-to-now) been looking for a way to
extract one vector component of a $N$ vector-valued solution, do stuff
to him (normalization, say) and then put him back in the intial
vector-valued solution vector.
cat DataComponentInterpretation::component_is_scalar be used for this?
Any ideas? I find no clues in the FAQ; clearly I am looking in the
wrong place...
Thanks in advance.
Best,
Toby
--
Toby D. Young
Assistant Professor Philosophy & Physics
Polish Academy of Sciences
www: http://www.ippt.gov.pl/~tyoung
skype: stenografia
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