| Commit message (Collapse) | Author | Age |
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any rectangular matrix size by reducing to the smaller of the two dimensions (which is also an optimization)
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- support complex numbers
- big rewrite of the 2x2 kernel, much more robust
* Jacobi:
- fix weirdness in initial design, e.g. applyJacobiOnTheRight actually did the inverse transformation
- fully support complex numbers
- fix logic to decide whether to vectorize
- remove several clumsy methods
fix for complex numbers
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* add Jacobi (Hestenes) SVD decomposition for square matrices
* add function for trivial Householder
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* install QtAlignedMalloc
* finish the renaming Regression->LeastSquares
* install LeastSquares directory (!!!)
* misc dox fixes
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of Eigen, and add a MSVC-friendly path in StaticAssert.
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