division instead of RCPPS-followed-by-Newton-Raphson. The rationale for that is
that elsewhere in Eigen we dont allow ourselves this approximation (which throws
2 bits of mantissa), so there's no reason we should allow it here.
* inverse tests: use createRandomMatrixOfRank, use more strict precision
* tests: createRandomMatrixOfRank: support 1x1 matrices
* determinant: nest the xpr
* Minor: add comment
* remove non-existant reference to CwiseAll
* define \householder_module (used in HouseholderSequence.h)
* update I01_TopicLazyEvaluation.dox - Product is now called GeneralProduct
* remove reference to list of examples which was deleted ages ago
* rename PartialLU_solve.cpp snippet to PartialPivLU_solve.cpp
* be aware of number of actual householder vectors
(optimization in non-full-rank case, no behavior change)
* fix applyThisOnTheRight, it was using k instead of actual_k
* QR: rename matrixQ() to householderQ() where applicable
* with random matrices multiplied by 1e+8 (i.e. fixed wrong absolute fuzzy compare)
* with 10,000 repetitions (i.e. the fuzzy compare is really clever)
and when it occasionnally fails, less than once in 10,000 repeats, it is only on the exact rank computation.
because thanks to the previous commit this is not needed anymore
* add a more general ForceAlignedAccess expression which can be used for any expression.
It is already used by StableNorm.h.
Add an internal pseudo expression allowing to optimize operators like +=, *= using
the copyCoeff stuff.
This allows to easily enforce aligned load for the destination matrix everywhere.
Only CMake 2.6.3 and later recognize this syntax, and at the moment we
require 2.6.2. CMake uses the right precendence, per its man page, so the
parentheses are not necessary.
* expand unit tests to make sure to catch them: they nearly escaped the existing tests as these memory violations were highly dependent on the numbers of rows and cols.
* add a file Eigen/signature_of_eigen3_matrix_library, use it to make FindEigen3.cmake more solid: able to find Eigen in either eigen3/ or eigen/ and not mix it up with Eigen2.
