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authorGravatar Steve Bronder <stevo15025@gmail.com>2021-03-04 18:58:08 +0000
committerGravatar Rasmus Munk Larsen <rmlarsen@google.com>2021-03-04 18:58:08 +0000
commit6cbb3038ac48cb5fe17eba4dfbf26e3e798041f1 (patch)
treef6b55d8169c36a10b4cfb0c35c2e067a774d252d /Eigen/src/Cholesky
parent5bfc67f9e7efde8c8ffae9b56f63186d682b9d44 (diff)
Adds EIGEN_CONSTEXPR and EIGEN_NOEXCEPT to rows(), cols(), innerStride(), outerStride(), and size()
Diffstat (limited to 'Eigen/src/Cholesky')
-rw-r--r--Eigen/src/Cholesky/LDLT.h4
-rw-r--r--Eigen/src/Cholesky/LLT.h6
2 files changed, 5 insertions, 5 deletions
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h
index 30f1f5285..1013ca045 100644
--- a/Eigen/src/Cholesky/LDLT.h
+++ b/Eigen/src/Cholesky/LDLT.h
@@ -246,8 +246,8 @@ template<typename _MatrixType, int _UpLo> class LDLT
*/
const LDLT& adjoint() const { return *this; };
- EIGEN_DEVICE_FUNC inline Index rows() const { return m_matrix.rows(); }
- EIGEN_DEVICE_FUNC inline Index cols() const { return m_matrix.cols(); }
+ EIGEN_DEVICE_FUNC inline EIGEN_CONSTEXPR Index rows() const EIGEN_NOEXCEPT { return m_matrix.rows(); }
+ EIGEN_DEVICE_FUNC inline EIGEN_CONSTEXPR Index cols() const EIGEN_NOEXCEPT { return m_matrix.cols(); }
/** \brief Reports whether previous computation was successful.
*
diff --git a/Eigen/src/Cholesky/LLT.h b/Eigen/src/Cholesky/LLT.h
index 5876966e6..8c9b2b398 100644
--- a/Eigen/src/Cholesky/LLT.h
+++ b/Eigen/src/Cholesky/LLT.h
@@ -199,10 +199,10 @@ template<typename _MatrixType, int _UpLo> class LLT
* This method is provided for compatibility with other matrix decompositions, thus enabling generic code such as:
* \code x = decomposition.adjoint().solve(b) \endcode
*/
- const LLT& adjoint() const { return *this; };
+ const LLT& adjoint() const EIGEN_NOEXCEPT { return *this; };
- inline Index rows() const { return m_matrix.rows(); }
- inline Index cols() const { return m_matrix.cols(); }
+ inline EIGEN_CONSTEXPR Index rows() const EIGEN_NOEXCEPT { return m_matrix.rows(); }
+ inline EIGEN_CONSTEXPR Index cols() const EIGEN_NOEXCEPT { return m_matrix.cols(); }
template<typename VectorType>
LLT & rankUpdate(const VectorType& vec, const RealScalar& sigma = 1);