* support resize() to same size (nop). The case of FFT was another case where that make one's life far easier.
hope that's ok with you Gael. but indeed, i don't use it in the ReturnByValue stuff.
FFT:
* Support MatrixBase (well, in the case with direct memory access such as Map)
* adapt unit test
construction of generic expressions working
for both dense and sparse matrix. A nicer solution
would be to use CwiseBinaryOp for any kind of matrix.
To this end we either need to change the overall design
so that the base class(es) depends on the kind of matrix,
or we could add a template parameter to each expression
type (e.g., int Kind = ei_traits<MatrixType>::Kind)
allowing to specialize each expression for each kind of matrix.
* Extend AutoDiffScalar to work with sparse vector expression
for the derivatives.
now we also align to 8byte boundary fixed-size objects that are multiple of 8 bytes.
That's only useful for now for double, not e.g. for Vector2f, but that didn't seem to hurt. Am I missing something? Do you prefer that we don't align Vector2f at all?
Also, improvements in test_unalignedassert.
For Colpiv that was just changing MatrixQType to MatrixType in the instantiation of HouseholderSequence.
For HouseholderQR I also re-ported the solve method from Colpiv as there were multiple issues.
---> question: do we change the prefix eigen2/ to eigen3/ now?
no, better wait until we've also changed the repository name
* more message improvements: "Install Eigen" was unclear as it left
out other things like the BLAS library
* remove EIGEN_BUILD_TESTS and siblings
* add summary at the end of cmake run, hopefully not too verbose
* fix build of quaternion demo
* kill remnants of old binary library option
-- simpplify by removing the 2nd template parameter
-- rename Functor to Derived, as now it's a usual CRTP
* Homogeneous:
-- in products, honor the Max sizes etc.
that eigen2 owes all its performance to nonstandard restrict keyword.
well, this can also improve portability in case some compiler doesn't have __restrict.
