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clean old stuff used to support precompilation inside a binary lib

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This commit is contained in:
Gael Guennebaud
2010-06-07 14:47:20 +02:00
parent bfeba41174
commit 7726cc8a29
11 changed files with 76 additions and 206 deletions
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42
Eigen/src/Eigenvalues/HessenbergDecomposition.h
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@@ -53,11 +53,11 @@ struct ei_traits<HessenbergDecompositionMatrixHReturnType<MatrixType> >
* \f$ Q^{-1} = Q^* \f$).
*
* Call the function compute() to compute the Hessenberg decomposition of a
* given matrix. Alternatively, you can use the
* given matrix. Alternatively, you can use the
* HessenbergDecomposition(const MatrixType&) constructor which computes the
* Hessenberg decomposition at construction time. Once the decomposition is
* computed, you can use the matrixH() and matrixQ() functions to construct
* the matrices H and Q in the decomposition.
* the matrices H and Q in the decomposition.
*
* The documentation for matrixH() contains an example of the typical use of
* this class.
@@ -114,8 +114,8 @@ template<typename _MatrixType> class HessenbergDecomposition
m_hCoeffs.resize(size-1);
}
/** \brief Constructor; computes Hessenberg decomposition of given matrix.
*
/** \brief Constructor; computes Hessenberg decomposition of given matrix.
*
* \param[in] matrix Square matrix whose Hessenberg decomposition is to be computed.
*
* This constructor calls compute() to compute the Hessenberg
@@ -138,8 +138,8 @@ template<typename _MatrixType> class HessenbergDecomposition
m_isInitialized = true;
}
/** \brief Computes Hessenberg decomposition of given matrix.
*
/** \brief Computes Hessenberg decomposition of given matrix.
*
* \param[in] matrix Square matrix whose Hessenberg decomposition is to be computed.
* \returns Reference to \c *this
*
@@ -177,18 +177,18 @@ template<typename _MatrixType> class HessenbergDecomposition
* or the member function compute(const MatrixType&) has been called
* before to compute the Hessenberg decomposition of a matrix.
*
* The Householder coefficients allow the reconstruction of the matrix
* The Householder coefficients allow the reconstruction of the matrix
* \f$ Q \f$ in the Hessenberg decomposition from the packed data.
*
* \sa packedMatrix(), \ref Householder_Module "Householder module"
*/
const CoeffVectorType& householderCoefficients() const
{
const CoeffVectorType& householderCoefficients() const
{
ei_assert(m_isInitialized && "HessenbergDecomposition is not initialized.");
return m_hCoeffs;
return m_hCoeffs;
}
/** \brief Returns the internal representation of the decomposition
/** \brief Returns the internal representation of the decomposition
*
* \returns a const reference to a matrix with the internal representation
* of the decomposition.
@@ -201,11 +201,11 @@ template<typename _MatrixType> class HessenbergDecomposition
* - the upper part and lower sub-diagonal represent the Hessenberg matrix H
* - the rest of the lower part contains the Householder vectors that, combined with
* Householder coefficients returned by householderCoefficients(),
* allows to reconstruct the matrix Q as
* allows to reconstruct the matrix Q as
* \f$ Q = H_{N-1} \ldots H_1 H_0 \f$.
* Here, the matrices \f$ H_i \f$ are the Householder transformations
* Here, the matrices \f$ H_i \f$ are the Householder transformations
* \f$ H_i = (I - h_i v_i v_i^T) \f$
* where \f$ h_i \f$ is the \f$ i \f$th Householder coefficient and
* where \f$ h_i \f$ is the \f$ i \f$th Householder coefficient and
* \f$ v_i \f$ is the Householder vector defined by
* \f$ v_i = [ 0, \ldots, 0, 1, M(i+2,i), \ldots, M(N-1,i) ]^T \f$
* with M the matrix returned by this function.
@@ -217,13 +217,13 @@ template<typename _MatrixType> class HessenbergDecomposition
*
* \sa householderCoefficients()
*/
const MatrixType& packedMatrix() const
{
const MatrixType& packedMatrix() const
{
ei_assert(m_isInitialized && "HessenbergDecomposition is not initialized.");
return m_matrix;
return m_matrix;
}
/** \brief Reconstructs the orthogonal matrix Q in the decomposition
/** \brief Reconstructs the orthogonal matrix Q in the decomposition
*
* \returns object representing the matrix Q
*
@@ -274,7 +274,7 @@ template<typename _MatrixType> class HessenbergDecomposition
typedef Matrix<Scalar, 1, Size, Options | RowMajor, 1, MaxSize> VectorType;
typedef typename NumTraits<Scalar>::Real RealScalar;
static void _compute(MatrixType& matA, CoeffVectorType& hCoeffs, VectorType& temp);
protected:
MatrixType m_matrix;
CoeffVectorType m_hCoeffs;
@@ -282,8 +282,6 @@ template<typename _MatrixType> class HessenbergDecomposition
bool m_isInitialized;
};
#ifndef EIGEN_HIDE_HEAVY_CODE
/** \internal
* Performs a tridiagonal decomposition of \a matA in place.
*
@@ -325,8 +323,6 @@ void HessenbergDecomposition<MatrixType>::_compute(MatrixType& matA, CoeffVector
}
}
#endif // EIGEN_HIDE_HEAVY_CODE
/** \eigenvalues_module \ingroup Eigenvalues_Module
* \nonstableyet
*