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Fix several uninitialized member from ctor

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This commit is contained in:
Gael Guennebaud
2018-11-23 15:10:28 +01:00
parent a476054879
commit a7842daef2
9 changed files with 57 additions and 16 deletions
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2
Eigen/src/Eigenvalues/EigenSolver.h
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@@ -110,7 +110,7 @@ template<typename _MatrixType> class EigenSolver
*
* \sa compute() for an example.
*/
EigenSolver() : m_eivec(), m_eivalues(), m_isInitialized(false), m_realSchur(), m_matT(), m_tmp() {}
EigenSolver() : m_eivec(), m_eivalues(), m_isInitialized(false), m_eigenvectorsOk(false), m_realSchur(), m_matT(), m_tmp() {}
/** \brief Default constructor with memory preallocation
*

13
Eigen/src/Eigenvalues/RealQZ.h
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@@ -90,8 +90,9 @@ namespace Eigen {
m_Z(size, size),
m_workspace(size*2),
m_maxIters(400),
m_isInitialized(false)
{ }
m_isInitialized(false),
m_computeQZ(true)
{}
/** \brief Constructor; computes real QZ decomposition of given matrices
*
@@ -108,9 +109,11 @@ namespace Eigen {
m_Z(A.rows(),A.cols()),
m_workspace(A.rows()*2),
m_maxIters(400),
m_isInitialized(false) {
compute(A, B, computeQZ);
}
m_isInitialized(false),
m_computeQZ(true)
{
compute(A, B, computeQZ);
}
/** \brief Returns matrix Q in the QZ decomposition.
*

9
Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h
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@@ -122,7 +122,8 @@ template<typename _MatrixType> class SelfAdjointEigenSolver
m_eivalues(),
m_subdiag(),
m_info(InvalidInput),
m_isInitialized(false)
m_isInitialized(false),
m_eigenvectorsOk(false)
{ }
/** \brief Constructor, pre-allocates memory for dynamic-size matrices.
@@ -142,7 +143,8 @@ template<typename _MatrixType> class SelfAdjointEigenSolver
: m_eivec(size, size),
m_eivalues(size),
m_subdiag(size > 1 ? size - 1 : 1),
m_isInitialized(false)
m_isInitialized(false),
m_eigenvectorsOk(false)
{}
/** \brief Constructor; computes eigendecomposition of given matrix.
@@ -166,7 +168,8 @@ template<typename _MatrixType> class SelfAdjointEigenSolver
: m_eivec(matrix.rows(), matrix.cols()),
m_eivalues(matrix.cols()),
m_subdiag(matrix.rows() > 1 ? matrix.rows() - 1 : 1),
m_isInitialized(false)
m_isInitialized(false),
m_eigenvectorsOk(false)
{
compute(matrix.derived(), options);
}