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fix cross product for complexes and add support for mixed real-complex cross products
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@ -399,8 +399,16 @@ template<typename Derived> class MatrixBase
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/////////// Geometry module ///////////
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#ifndef EIGEN_PARSED_BY_DOXYGEN
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/// \internal helper struct to form the return type of the cross product
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template<typename OtherDerived> struct cross_product_return_type {
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typedef typename internal::scalar_product_traits<typename internal::traits<Derived>::Scalar,typename internal::traits<OtherDerived>::Scalar>::ReturnType Scalar;
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typedef Matrix<Scalar,RowsAtCompileTime,ColsAtCompileTime> type;
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};
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#endif // EIGEN_PARSED_BY_DOXYGEN
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template<typename OtherDerived>
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PlainObject cross(const MatrixBase<OtherDerived>& other) const;
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typename cross_product_return_type<OtherDerived>::type
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cross(const MatrixBase<OtherDerived>& other) const;
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template<typename OtherDerived>
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PlainObject cross3(const MatrixBase<OtherDerived>& other) const;
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PlainObject unitOrthogonal(void) const;
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@ -35,7 +35,7 @@
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*/
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template<typename Derived>
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template<typename OtherDerived>
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inline typename MatrixBase<Derived>::PlainObject
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inline typename MatrixBase<Derived>::template cross_product_return_type<OtherDerived>::type
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MatrixBase<Derived>::cross(const MatrixBase<OtherDerived>& other) const
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{
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EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Derived,3)
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@ -45,10 +45,10 @@ MatrixBase<Derived>::cross(const MatrixBase<OtherDerived>& other) const
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// optimize such a small temporary very well (even within a complex expression)
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const typename internal::nested<Derived,2>::type lhs(derived());
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const typename internal::nested<OtherDerived,2>::type rhs(other.derived());
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return typename internal::plain_matrix_type<Derived>::type(
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lhs.coeff(1) * rhs.coeff(2) - lhs.coeff(2) * rhs.coeff(1),
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lhs.coeff(2) * rhs.coeff(0) - lhs.coeff(0) * rhs.coeff(2),
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lhs.coeff(0) * rhs.coeff(1) - lhs.coeff(1) * rhs.coeff(0)
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return typename cross_product_return_type<OtherDerived>::type(
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internal::conj(lhs.coeff(1) * rhs.coeff(2) - lhs.coeff(2) * rhs.coeff(1)),
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internal::conj(lhs.coeff(2) * rhs.coeff(0) - lhs.coeff(0) * rhs.coeff(2)),
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internal::conj(lhs.coeff(0) * rhs.coeff(1) - lhs.coeff(1) * rhs.coeff(0))
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);
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}
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@ -62,9 +62,9 @@ struct cross3_impl {
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run(const VectorLhs& lhs, const VectorRhs& rhs)
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{
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return typename internal::plain_matrix_type<VectorLhs>::type(
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lhs.coeff(1) * rhs.coeff(2) - lhs.coeff(2) * rhs.coeff(1),
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lhs.coeff(2) * rhs.coeff(0) - lhs.coeff(0) * rhs.coeff(2),
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lhs.coeff(0) * rhs.coeff(1) - lhs.coeff(1) * rhs.coeff(0),
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internal::conj(lhs.coeff(1) * rhs.coeff(2) - lhs.coeff(2) * rhs.coeff(1)),
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internal::conj(lhs.coeff(2) * rhs.coeff(0) - lhs.coeff(0) * rhs.coeff(2)),
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internal::conj(lhs.coeff(0) * rhs.coeff(1) - lhs.coeff(1) * rhs.coeff(0)),
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0
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);
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}
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@ -121,16 +121,16 @@ VectorwiseOp<ExpressionType,Direction>::cross(const MatrixBase<OtherDerived>& ot
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if(Direction==Vertical)
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{
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eigen_assert(CrossReturnType::RowsAtCompileTime==3 && "the matrix must have exactly 3 rows");
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res.row(0) = _expression().row(1) * other.coeff(2) - _expression().row(2) * other.coeff(1);
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res.row(1) = _expression().row(2) * other.coeff(0) - _expression().row(0) * other.coeff(2);
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res.row(2) = _expression().row(0) * other.coeff(1) - _expression().row(1) * other.coeff(0);
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res.row(0) = (_expression().row(1) * other.coeff(2) - _expression().row(2) * other.coeff(1)).conjugate();
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res.row(1) = (_expression().row(2) * other.coeff(0) - _expression().row(0) * other.coeff(2)).conjugate();
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res.row(2) = (_expression().row(0) * other.coeff(1) - _expression().row(1) * other.coeff(0)).conjugate();
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}
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else
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{
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eigen_assert(CrossReturnType::ColsAtCompileTime==3 && "the matrix must have exactly 3 columns");
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res.col(0) = _expression().col(1) * other.coeff(2) - _expression().col(2) * other.coeff(1);
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res.col(1) = _expression().col(2) * other.coeff(0) - _expression().col(0) * other.coeff(2);
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res.col(2) = _expression().col(0) * other.coeff(1) - _expression().col(1) * other.coeff(0);
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res.col(0) = (_expression().col(1) * other.coeff(2) - _expression().col(2) * other.coeff(1)).conjugate();
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res.col(1) = (_expression().col(2) * other.coeff(0) - _expression().col(0) * other.coeff(2)).conjugate();
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res.col(2) = (_expression().col(0) * other.coeff(1) - _expression().col(1) * other.coeff(0)).conjugate();
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}
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return res;
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}
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@ -33,6 +33,7 @@
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template<typename Scalar> void orthomethods_3()
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{
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typedef typename NumTraits<Scalar>::Real RealScalar;
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typedef Matrix<Scalar,3,3> Matrix3;
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typedef Matrix<Scalar,3,1> Vector3;
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@ -44,6 +45,9 @@ template<typename Scalar> void orthomethods_3()
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// cross product
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VERIFY_IS_MUCH_SMALLER_THAN(v1.cross(v2).dot(v1), Scalar(1));
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VERIFY_IS_MUCH_SMALLER_THAN(v1.dot(v1.cross(v2)), Scalar(1));
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VERIFY_IS_MUCH_SMALLER_THAN(v1.cross(v2).dot(v2), Scalar(1));
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VERIFY_IS_MUCH_SMALLER_THAN(v2.dot(v1.cross(v2)), Scalar(1));
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Matrix3 mat3;
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mat3 << v0.normalized(),
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(v0.cross(v1)).normalized(),
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@ -68,6 +72,12 @@ template<typename Scalar> void orthomethods_3()
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v40.w() = v41.w() = v42.w() = 0;
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v42.template head<3>() = v40.template head<3>().cross(v41.template head<3>());
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VERIFY_IS_APPROX(v40.cross3(v41), v42);
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// check mixed product
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typedef Matrix<RealScalar, 3, 1> RealVector3;
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RealVector3 rv1 = RealVector3::Random();
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VERIFY_IS_APPROX(v1.cross(rv1.template cast<Scalar>()), v1.cross(rv1));
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VERIFY_IS_APPROX(rv1.template cast<Scalar>().cross(v1), rv1.cross(v1));
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}
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template<typename Scalar, int Size> void orthomethods(int size=Size)
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@ -115,6 +125,7 @@ void test_geo_orthomethods()
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST_1( orthomethods_3<float>() );
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CALL_SUBTEST_2( orthomethods_3<double>() );
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CALL_SUBTEST_4( orthomethods_3<std::complex<double> >() );
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CALL_SUBTEST_1( (orthomethods<float,2>()) );
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CALL_SUBTEST_2( (orthomethods<double,2>()) );
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CALL_SUBTEST_1( (orthomethods<float,3>()) );
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