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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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@@ -59,7 +59,12 @@ template<typename MatrixType> void cwiseops(const MatrixType& m)
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VERIFY_IS_APPROX( mzero, m1-m1);
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VERIFY_IS_APPROX( m2, m1+m2-m1);
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VERIFY_IS_APPROX( mones, m2.cwiseQuotient(m2));
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#ifdef EIGEN_VECTORIZE
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if(NumTraits<Scalar>::HasFloatingPoint)
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#endif
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{
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VERIFY_IS_APPROX( mones, m2.cwiseQuotient(m2));
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}
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VERIFY_IS_APPROX( m1.cwiseProduct(m2), m2.cwiseProduct(m1));
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VERIFY( m1.cwiseLessThan(m1.cwise(bind2nd(plus<Scalar>(), Scalar(1)))).all() );
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@@ -86,7 +86,7 @@ template<typename Scalar> void geometry(void)
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m << v0.normalized(),
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(v0.cross(v1)).normalized(),
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(v0.cross(v1).cross(v0)).normalized();
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VERIFY(m.isOrtho());
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VERIFY(m.isUnitary());
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// AngleAxis
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VERIFY_IS_APPROX(AngleAxis(a,v1.normalized()).toRotationMatrix(),
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