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* vectorize dot product, copying code from sum.
* make the conj functor vectorizable: it is just identity in real case, and complex doesn't use the vectorized path anyway. * fix bug in Block: a 3x1 block in a 4x4 matrix (all fixed-size) should not be vectorizable, since in fixed-size we are assuming the size to be a multiple of packet size. (Or would you prefer Vector3d to be flagged "packetaccess" even though no packet access is possible on vectors of that type?) * rename: isOrtho for vectors ---> isOrthogonal isOrtho for matrices ---> isUnitary * add normalize() * reimplement normalized with quotient1 functor
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@@ -56,9 +56,6 @@ template<typename MatrixType> void adjoint(const MatrixType& m)
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VERIFY_IS_APPROX(m1.adjoint().conjugate().transpose(), m1);
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// check multiplicative behavior
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std::cout << (m1.adjoint() * m2).adjoint() << std::endl;
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std::cout << "------------------------------" << std::endl;
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std::cout << m2.adjoint() * m1 << std::endl;
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VERIFY_IS_APPROX((m1.adjoint() * m2).adjoint(), m2.adjoint() * m1);
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VERIFY_IS_APPROX((s1 * m1).adjoint(), ei_conj(s1) * m1.adjoint());
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