enforce this mechanism (otherwise ReturnByValue bypasses it).
(use .noalias() to get the old behavior.)
* Remove a hack in Inverse, futile optimization for 2x2 expressions.
* use SelfAdjointView instead of Eigen2's SelfAdjoint flag.
* add tests and documentation.
* allow eigenvalues() for non-selfadjoint matrices.
* they no longer depend only on SelfAdjointEigenSolver, so move them to
a separate file
This changes the return type of:
* eigenvectors() and eigenvalues() in ComplexEigenSolver
* eigenvalues() in EigenSolver
* eigenvectors() and eigenvalues() in SelfAdjointEigenSolver
This is to avoid dynamic memory allocations in the compute() methods of
ComplexEigenSolver, EigenSolver, and SelfAdjointEigenSolver where possible.
As a result, Tridiagonalization::decomposeInPlace() is no longer used.
Biggest remaining issue is the allocation in HouseholderSequence::evalTo().
According to people on #llvm, this is indeed not allowed by c++ standard:
[01:33] <coppro> what good would mutable do on a reference?
[01:33] <dgregor> orzel: gcc is wrong to allow "mutable" on references
[01:33] <coppro> just remove mutable; it won't damage the code at all
[01:34] <dgregor> "The mutable specifier can be applied only to names of
class data members (9.2) and cannot be applied to
[01:34] <dgregor> names declared const or static, and cannot be applied to
reference members."
[01:34] <coppro> constness is not passed from an object to the referents of
its members anyways
(error was appearing when building tests with alignmnet disabled)
What is this stuff still doing in MatrixBase.h? Shouldn't it move to DenseBase.h? How are Array blocks compiling?
Rationale: coeffRef() methods should only exist when we have DirectAccess. So a natural thing to do would have been to use enable_if, but since there are many methods it made more sense to do the "enable_if" for the whole group by introducing a new class. And that also that the benefit of not changing method prototypes.
I didn't even put it in Eigen2Support because it requires several other modules. But if you want we can always create a new module, Eigen2Support_LeastSquares...
