mirror of
https://gitlab.com/libeigen/eigen.git
synced 2025-04-22 17:49:36 +08:00
Fix bug #562: add vector-wise normalized and normalize functions
This commit is contained in:
parent
d8f1035355
commit
3cb6e21f80
@ -233,6 +233,28 @@ template<typename ExpressionType, int Direction> class VectorwiseOp
|
||||
Direction==Vertical ? 1 : m_matrix.rows(),
|
||||
Direction==Horizontal ? 1 : m_matrix.cols());
|
||||
}
|
||||
|
||||
template<typename OtherDerived> struct OppositeExtendedType {
|
||||
typedef Replicate<OtherDerived,
|
||||
Direction==Horizontal ? 1 : ExpressionType::RowsAtCompileTime,
|
||||
Direction==Vertical ? 1 : ExpressionType::ColsAtCompileTime> Type;
|
||||
};
|
||||
|
||||
/** \internal
|
||||
* Replicates a vector in the opposite direction to match the size of \c *this */
|
||||
template<typename OtherDerived>
|
||||
typename OppositeExtendedType<OtherDerived>::Type
|
||||
extendedToOpposite(const DenseBase<OtherDerived>& other) const
|
||||
{
|
||||
EIGEN_STATIC_ASSERT(EIGEN_IMPLIES(Direction==Horizontal, OtherDerived::MaxColsAtCompileTime==1),
|
||||
YOU_PASSED_A_ROW_VECTOR_BUT_A_COLUMN_VECTOR_WAS_EXPECTED)
|
||||
EIGEN_STATIC_ASSERT(EIGEN_IMPLIES(Direction==Vertical, OtherDerived::MaxRowsAtCompileTime==1),
|
||||
YOU_PASSED_A_COLUMN_VECTOR_BUT_A_ROW_VECTOR_WAS_EXPECTED)
|
||||
return typename OppositeExtendedType<OtherDerived>::Type
|
||||
(other.derived(),
|
||||
Direction==Horizontal ? 1 : m_matrix.rows(),
|
||||
Direction==Vertical ? 1 : m_matrix.cols());
|
||||
}
|
||||
|
||||
public:
|
||||
|
||||
@ -504,6 +526,23 @@ template<typename ExpressionType, int Direction> class VectorwiseOp
|
||||
EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
|
||||
return m_matrix / extendedTo(other.derived());
|
||||
}
|
||||
|
||||
/** \returns an expression where each column of row of the referenced matrix are normalized.
|
||||
* The referenced matrix is \b not modified.
|
||||
* \sa MatrixBase::normalized(), normalize()
|
||||
*/
|
||||
CwiseBinaryOp<internal::scalar_quotient_op<Scalar>,
|
||||
const ExpressionTypeNestedCleaned,
|
||||
const typename OppositeExtendedType<typename ReturnType<internal::member_norm,RealScalar>::Type>::Type>
|
||||
normalized() const { return m_matrix.cwiseQuotient(extendedToOpposite(this->norm())); }
|
||||
|
||||
|
||||
/** Normalize in-place each row or columns of the referenced matrix.
|
||||
* \sa MatrixBase::normalize(), normalized()
|
||||
*/
|
||||
void normalize() {
|
||||
m_matrix = this->normalized();
|
||||
}
|
||||
|
||||
/////////// Geometry module ///////////
|
||||
|
||||
|
@ -111,6 +111,8 @@ template<typename MatrixType> void vectorwiseop_matrix(const MatrixType& m)
|
||||
typedef typename NumTraits<Scalar>::Real RealScalar;
|
||||
typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> ColVectorType;
|
||||
typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime> RowVectorType;
|
||||
typedef Matrix<RealScalar, MatrixType::RowsAtCompileTime, 1> RealColVectorType;
|
||||
typedef Matrix<RealScalar, 1, MatrixType::ColsAtCompileTime> RealRowVectorType;
|
||||
|
||||
Index rows = m.rows();
|
||||
Index cols = m.cols();
|
||||
@ -123,6 +125,8 @@ template<typename MatrixType> void vectorwiseop_matrix(const MatrixType& m)
|
||||
|
||||
ColVectorType colvec = ColVectorType::Random(rows);
|
||||
RowVectorType rowvec = RowVectorType::Random(cols);
|
||||
RealColVectorType rcres;
|
||||
RealRowVectorType rrres;
|
||||
|
||||
// test addition
|
||||
|
||||
@ -159,6 +163,26 @@ template<typename MatrixType> void vectorwiseop_matrix(const MatrixType& m)
|
||||
|
||||
VERIFY_RAISES_ASSERT(m2.rowwise() -= rowvec.transpose());
|
||||
VERIFY_RAISES_ASSERT(m1.rowwise() - rowvec.transpose());
|
||||
|
||||
// test norm
|
||||
rrres = m1.colwise().norm();
|
||||
VERIFY_IS_APPROX(rrres(c), m1.col(c).norm());
|
||||
rcres = m1.rowwise().norm();
|
||||
VERIFY_IS_APPROX(rcres(r), m1.row(r).norm());
|
||||
|
||||
// test normalized
|
||||
m2 = m1.colwise().normalized();
|
||||
VERIFY_IS_APPROX(m2.col(c), m1.col(c).normalized());
|
||||
m2 = m1.rowwise().normalized();
|
||||
VERIFY_IS_APPROX(m2.row(r), m1.row(r).normalized());
|
||||
|
||||
// test normalize
|
||||
m2 = m1;
|
||||
m2.colwise().normalize();
|
||||
VERIFY_IS_APPROX(m2.col(c), m1.col(c).normalized());
|
||||
m2 = m1;
|
||||
m2.rowwise().normalize();
|
||||
VERIFY_IS_APPROX(m2.row(r), m1.row(r).normalized());
|
||||
}
|
||||
|
||||
void test_vectorwiseop()
|
||||
|
Loading…
x
Reference in New Issue
Block a user