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fix sparse squared norm
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@ -38,7 +38,7 @@ SparseMatrixBase<Derived>::dot(const MatrixBase<OtherDerived>& other) const
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ei_assert(size() == other.size());
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ei_assert(other.size()>0 && "you are using a non initialized vector");
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typename Derived::InnerIterator i(derived(),0);
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Scalar res = 0;
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while (i)
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@ -59,9 +59,9 @@ SparseMatrixBase<Derived>::dot(const SparseMatrixBase<OtherDerived>& other) cons
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EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
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EIGEN_STATIC_ASSERT((ei_is_same_type<Scalar, typename OtherDerived::Scalar>::ret),
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YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
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ei_assert(size() == other.size());
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typename Derived::InnerIterator i(derived(),0);
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typename OtherDerived::InnerIterator j(other.derived(),0);
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Scalar res = 0;
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@ -84,7 +84,7 @@ template<typename Derived>
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inline typename NumTraits<typename ei_traits<Derived>::Scalar>::Real
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SparseMatrixBase<Derived>::squaredNorm() const
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{
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return ei_real((*this).cwise().abs2().sum());
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return ei_real((*this).cwiseAbs2().sum());
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}
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template<typename Derived>
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@ -79,13 +79,15 @@ template<typename Scalar> void sparse_vector(int rows, int cols)
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VERIFY_IS_APPROX(v1*=s1, refV1*=s1);
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VERIFY_IS_APPROX(v1/=s1, refV1/=s1);
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VERIFY_IS_APPROX(v1+=v2, refV1+=refV2);
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VERIFY_IS_APPROX(v1-=v2, refV1-=refV2);
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VERIFY_IS_APPROX(v1.dot(v2), refV1.dot(refV2));
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VERIFY_IS_APPROX(v1.dot(refV2), refV1.dot(refV2));
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VERIFY_IS_APPROX(v1.squaredNorm(), refV1.squaredNorm());
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}
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void test_sparse_vector()
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