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-rw-r--r--Eigen/src/Cholesky/LDLT.h21
1 files changed, 19 insertions, 2 deletions
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h
index 538aff956..a31b3d6aa 100644
--- a/Eigen/src/Cholesky/LDLT.h
+++ b/Eigen/src/Cholesky/LDLT.h
@@ -52,7 +52,6 @@ template<typename _MatrixType, int _UpLo> class LDLT
enum {
RowsAtCompileTime = MatrixType::RowsAtCompileTime,
ColsAtCompileTime = MatrixType::ColsAtCompileTime,
- Options = MatrixType::Options & ~RowMajorBit, // these are the options for the TmpMatrixType, we need a ColMajor matrix here!
MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
UpLo = _UpLo
@@ -61,7 +60,7 @@ template<typename _MatrixType, int _UpLo> class LDLT
typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
typedef typename MatrixType::StorageIndex StorageIndex;
- typedef Matrix<Scalar, RowsAtCompileTime, 1, Options, MaxRowsAtCompileTime, 1> TmpMatrixType;
+ typedef Matrix<Scalar, RowsAtCompileTime, 1, 0, MaxRowsAtCompileTime, 1> TmpMatrixType;
typedef Transpositions<RowsAtCompileTime, MaxRowsAtCompileTime> TranspositionType;
typedef PermutationMatrix<RowsAtCompileTime, MaxRowsAtCompileTime> PermutationType;
@@ -97,6 +96,7 @@ template<typename _MatrixType, int _UpLo> class LDLT
/** \brief Constructor with decomposition
*
* This calculates the decomposition for the input \a matrix.
+ *
* \sa LDLT(Index size)
*/
template<typename InputType>
@@ -110,6 +110,23 @@ template<typename _MatrixType, int _UpLo> class LDLT
compute(matrix.derived());
}
+ /** \brief Constructs a LDLT factorization from a given matrix
+ *
+ * This overloaded constructor is provided for inplace solving when \c MatrixType is a Eigen::Ref.
+ *
+ * \sa LDLT(const EigenBase&)
+ */
+ template<typename InputType>
+ explicit LDLT(EigenBase<InputType>& matrix)
+ : m_matrix(matrix.derived()),
+ m_transpositions(matrix.rows()),
+ m_temporary(matrix.rows()),
+ m_sign(internal::ZeroSign),
+ m_isInitialized(false)
+ {
+ compute(matrix.derived());
+ }
+
/** Clear any existing decomposition
* \sa rankUpdate(w,sigma)
*/