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Fix most Doxygen warnings. Also add links to stable documentation from unsupported modules (by using the corresponding Doxytags file).
Manually grafted from d107a371c6
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@@ -7,8 +7,8 @@
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#ifndef EIGEN_MATRIX_FUNCTION
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#define EIGEN_MATRIX_FUNCTION
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#ifndef EIGEN_MATRIX_FUNCTION_H
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#define EIGEN_MATRIX_FUNCTION_H
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#include "StemFunction.h"
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@@ -566,4 +566,4 @@ const MatrixFunctionReturnValue<Derived> MatrixBase<Derived>::cosh() const
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} // end namespace Eigen
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#endif // EIGEN_MATRIX_FUNCTION
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#endif // EIGEN_MATRIX_FUNCTION_H
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@@ -324,7 +324,7 @@ public:
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/** \brief Compute the matrix logarithm.
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*
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* \param[out] result Logarithm of \p A, where \A is as specified in the constructor.
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* \param[out] result Logarithm of \c A, where \c A is as specified in the constructor.
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*/
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template <typename ResultType>
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inline void evalTo(ResultType& result) const
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@@ -56,8 +56,8 @@ class MatrixPowerParenthesesReturnValue : public ReturnByValue< MatrixPowerParen
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* \param[out] result
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*/
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template<typename ResultType>
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inline void evalTo(ResultType& res) const
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{ m_pow.compute(res, m_p); }
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inline void evalTo(ResultType& result) const
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{ m_pow.compute(result, m_p); }
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Index rows() const { return m_pow.rows(); }
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Index cols() const { return m_pow.cols(); }
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@@ -614,8 +614,8 @@ class MatrixPowerReturnValue : public ReturnByValue< MatrixPowerReturnValue<Deri
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* constructor.
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*/
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template<typename ResultType>
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inline void evalTo(ResultType& res) const
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{ MatrixPower<PlainObject>(m_A.eval()).compute(res, m_p); }
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inline void evalTo(ResultType& result) const
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{ MatrixPower<PlainObject>(m_A.eval()).compute(result, m_p); }
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Index rows() const { return m_A.rows(); }
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Index cols() const { return m_A.cols(); }
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@@ -664,8 +664,8 @@ class MatrixComplexPowerReturnValue : public ReturnByValue< MatrixComplexPowerRe
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* constructor.
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*/
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template<typename ResultType>
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inline void evalTo(ResultType& res) const
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{ res = (m_p * m_A.log()).exp(); }
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inline void evalTo(ResultType& result) const
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{ result = (m_p * m_A.log()).exp(); }
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Index rows() const { return m_A.rows(); }
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Index cols() const { return m_A.cols(); }
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