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Fix numerous doxygen shortcomings, and workaround some clang -Wdocumentation warnings
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@@ -375,8 +375,12 @@ namespace internal {
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* Performs a QR step on a tridiagonal symmetric matrix represented as a
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* pair of two vectors \a diag and \a subdiag.
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*
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* \param matA the input selfadjoint matrix
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* \param hCoeffs returned Householder coefficients
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* \param diag the diagonal part of the input selfadjoint tridiagonal matrix
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* \param subdiag the sub-diagonal part of the input selfadjoint tridiagonal matrix
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* \param start starting index of the submatrix to work on
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* \param end last+1 index of the submatrix to work on
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* \param matrixQ pointer to the column-major matrix holding the eigenvectors, can be 0
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* \param n size of the input matrix
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*
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* For compilation efficiency reasons, this procedure does not use eigen expression
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* for its arguments.
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@@ -467,9 +471,10 @@ namespace internal {
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* \brief Compute the eigendecomposition from a tridiagonal matrix
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*
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* \param[in,out] diag : On input, the diagonal of the matrix, on output the eigenvalues
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* \param[in] subdiag : The subdiagonal part of the matrix.
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* \param[in,out] : On input, the maximum number of iterations, on output, the effective number of iterations.
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* \param[out] eivec : The matrix to store the eigenvectors... if needed. allocated on input
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* \param[in,out] subdiag : The subdiagonal part of the matrix (entries are modified during the decomposition)
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* \param[in] maxIterations : the maximum number of iterations
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* \param[in] computeEigenvectors : whether the eigenvectors have to be computed or not
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* \param[out] eivec : The matrix to store the eigenvectors if computeEigenvectors==true. Must be allocated on input.
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* \returns \c Success or \c NoConvergence
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*/
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template<typename MatrixType, typename DiagType, typename SubDiagType>
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