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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
bug #86 : use internal:: namespace instead of ei_ prefix
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@@ -128,11 +128,11 @@ class MatrixExponential {
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*/
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void computeUV(float);
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typedef typename ei_traits<MatrixType>::Scalar Scalar;
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typedef typename internal::traits<MatrixType>::Scalar Scalar;
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typedef typename NumTraits<Scalar>::Real RealScalar;
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/** \brief Reference to matrix whose exponential is to be computed. */
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typename ei_nested<MatrixType>::type m_M;
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typename internal::nested<MatrixType>::type m_M;
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/** \brief Even-degree terms in numerator of Padé approximant. */
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MatrixType m_U;
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@@ -327,16 +327,18 @@ template<typename Derived> struct MatrixExponentialReturnValue
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MatrixExponentialReturnValue& operator=(const MatrixExponentialReturnValue&);
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};
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namespace internal {
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template<typename Derived>
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struct ei_traits<MatrixExponentialReturnValue<Derived> >
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struct traits<MatrixExponentialReturnValue<Derived> >
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{
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typedef typename Derived::PlainObject ReturnType;
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};
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}
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template <typename Derived>
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const MatrixExponentialReturnValue<Derived> MatrixBase<Derived>::exp() const
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{
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ei_assert(rows() == cols());
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eigen_assert(rows() == cols());
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return MatrixExponentialReturnValue<Derived>(derived());
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}
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@@ -34,14 +34,14 @@
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* \tparam MatrixType type of the argument of the matrix function,
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* expected to be an instantiation of the Matrix class template.
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*/
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template <typename MatrixType, int IsComplex = NumTraits<typename ei_traits<MatrixType>::Scalar>::IsComplex>
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template <typename MatrixType, int IsComplex = NumTraits<typename internal::traits<MatrixType>::Scalar>::IsComplex>
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class MatrixFunction
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{
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private:
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typedef typename ei_traits<MatrixType>::Index Index;
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typedef typename ei_traits<MatrixType>::Scalar Scalar;
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typedef typename ei_stem_function<Scalar>::type StemFunction;
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typedef typename internal::traits<MatrixType>::Index Index;
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typedef typename internal::traits<MatrixType>::Scalar Scalar;
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typedef typename internal::stem_function<Scalar>::type StemFunction;
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public:
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@@ -76,7 +76,7 @@ class MatrixFunction<MatrixType, 0>
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{
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private:
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typedef ei_traits<MatrixType> Traits;
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typedef internal::traits<MatrixType> Traits;
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typedef typename Traits::Scalar Scalar;
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static const int Rows = Traits::RowsAtCompileTime;
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static const int Cols = Traits::ColsAtCompileTime;
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@@ -86,7 +86,7 @@ class MatrixFunction<MatrixType, 0>
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typedef std::complex<Scalar> ComplexScalar;
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typedef Matrix<ComplexScalar, Rows, Cols, Options, MaxRows, MaxCols> ComplexMatrix;
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typedef typename ei_stem_function<Scalar>::type StemFunction;
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typedef typename internal::stem_function<Scalar>::type StemFunction;
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public:
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@@ -117,7 +117,7 @@ class MatrixFunction<MatrixType, 0>
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}
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private:
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typename ei_nested<MatrixType>::type m_A; /**< \brief Reference to argument of matrix function. */
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typename internal::nested<MatrixType>::type m_A; /**< \brief Reference to argument of matrix function. */
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StemFunction *m_f; /**< \brief Stem function for matrix function under consideration */
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MatrixFunction& operator=(const MatrixFunction&);
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@@ -132,14 +132,14 @@ class MatrixFunction<MatrixType, 1>
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{
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private:
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typedef ei_traits<MatrixType> Traits;
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typedef internal::traits<MatrixType> Traits;
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typedef typename MatrixType::Scalar Scalar;
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typedef typename MatrixType::Index Index;
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static const int RowsAtCompileTime = Traits::RowsAtCompileTime;
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static const int ColsAtCompileTime = Traits::ColsAtCompileTime;
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static const int Options = MatrixType::Options;
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typedef typename NumTraits<Scalar>::Real RealScalar;
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typedef typename ei_stem_function<Scalar>::type StemFunction;
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typedef typename internal::stem_function<Scalar>::type StemFunction;
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typedef Matrix<Scalar, Traits::RowsAtCompileTime, 1> VectorType;
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typedef Matrix<Index, Traits::RowsAtCompileTime, 1> IntVectorType;
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typedef Matrix<Index, Dynamic, 1> DynamicIntVectorType;
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@@ -167,7 +167,7 @@ class MatrixFunction<MatrixType, 1>
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void computeOffDiagonal();
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DynMatrixType solveTriangularSylvester(const DynMatrixType& A, const DynMatrixType& B, const DynMatrixType& C);
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typename ei_nested<MatrixType>::type m_A; /**< \brief Reference to argument of matrix function. */
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typename internal::nested<MatrixType>::type m_A; /**< \brief Reference to argument of matrix function. */
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StemFunction *m_f; /**< \brief Stem function for matrix function under consideration */
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MatrixType m_T; /**< \brief Triangular part of Schur decomposition */
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MatrixType m_U; /**< \brief Unitary part of Schur decomposition */
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@@ -260,7 +260,7 @@ void MatrixFunction<MatrixType,1>::partitionEigenvalues()
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// Look for other element to add to the set
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for (Index j=i+1; j<rows; ++j) {
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if (ei_abs(diag(j) - diag(i)) <= separation() && std::find(qi->begin(), qi->end(), diag(j)) == qi->end()) {
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if (internal::abs(diag(j) - diag(i)) <= separation() && std::find(qi->begin(), qi->end(), diag(j)) == qi->end()) {
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typename ListOfClusters::iterator qj = findCluster(diag(j));
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if (qj == m_clusters.end()) {
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qi->push_back(diag(j));
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@@ -346,7 +346,7 @@ void MatrixFunction<MatrixType,1>::permuteSchur()
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for (j = i; j < p.rows(); j++) {
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if (p(j) == i) break;
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}
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ei_assert(p(j) == i);
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eigen_assert(p(j) == i);
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for (Index k = j-1; k >= i; k--) {
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swapEntriesInSchur(k);
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std::swap(p.coeffRef(k), p.coeffRef(k+1));
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@@ -445,12 +445,12 @@ typename MatrixFunction<MatrixType,1>::DynMatrixType MatrixFunction<MatrixType,1
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const DynMatrixType& B,
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const DynMatrixType& C)
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{
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ei_assert(A.rows() == A.cols());
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ei_assert(A.isUpperTriangular());
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ei_assert(B.rows() == B.cols());
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ei_assert(B.isUpperTriangular());
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ei_assert(C.rows() == A.rows());
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ei_assert(C.cols() == B.rows());
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eigen_assert(A.rows() == A.cols());
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eigen_assert(A.isUpperTriangular());
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eigen_assert(B.rows() == B.cols());
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eigen_assert(B.isUpperTriangular());
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eigen_assert(C.rows() == A.rows());
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eigen_assert(C.cols() == B.rows());
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Index m = A.rows();
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Index n = B.rows();
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@@ -502,7 +502,7 @@ template<typename Derived> class MatrixFunctionReturnValue
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typedef typename Derived::Scalar Scalar;
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typedef typename Derived::Index Index;
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typedef typename ei_stem_function<Scalar>::type StemFunction;
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typedef typename internal::stem_function<Scalar>::type StemFunction;
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/** \brief Constructor.
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*
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@@ -529,58 +529,60 @@ template<typename Derived> class MatrixFunctionReturnValue
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Index cols() const { return m_A.cols(); }
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private:
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typename ei_nested<Derived>::type m_A;
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typename internal::nested<Derived>::type m_A;
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StemFunction *m_f;
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MatrixFunctionReturnValue& operator=(const MatrixFunctionReturnValue&);
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};
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namespace internal {
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template<typename Derived>
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struct ei_traits<MatrixFunctionReturnValue<Derived> >
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struct traits<MatrixFunctionReturnValue<Derived> >
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{
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typedef typename Derived::PlainObject ReturnType;
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};
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}
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/********** MatrixBase methods **********/
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template <typename Derived>
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const MatrixFunctionReturnValue<Derived> MatrixBase<Derived>::matrixFunction(typename ei_stem_function<typename ei_traits<Derived>::Scalar>::type f) const
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const MatrixFunctionReturnValue<Derived> MatrixBase<Derived>::matrixFunction(typename internal::stem_function<typename internal::traits<Derived>::Scalar>::type f) const
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{
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ei_assert(rows() == cols());
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eigen_assert(rows() == cols());
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return MatrixFunctionReturnValue<Derived>(derived(), f);
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}
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template <typename Derived>
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const MatrixFunctionReturnValue<Derived> MatrixBase<Derived>::sin() const
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{
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ei_assert(rows() == cols());
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typedef typename ei_stem_function<Scalar>::ComplexScalar ComplexScalar;
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eigen_assert(rows() == cols());
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typedef typename internal::stem_function<Scalar>::ComplexScalar ComplexScalar;
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return MatrixFunctionReturnValue<Derived>(derived(), StdStemFunctions<ComplexScalar>::sin);
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}
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template <typename Derived>
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const MatrixFunctionReturnValue<Derived> MatrixBase<Derived>::cos() const
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{
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ei_assert(rows() == cols());
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typedef typename ei_stem_function<Scalar>::ComplexScalar ComplexScalar;
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eigen_assert(rows() == cols());
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typedef typename internal::stem_function<Scalar>::ComplexScalar ComplexScalar;
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return MatrixFunctionReturnValue<Derived>(derived(), StdStemFunctions<ComplexScalar>::cos);
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}
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template <typename Derived>
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const MatrixFunctionReturnValue<Derived> MatrixBase<Derived>::sinh() const
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{
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ei_assert(rows() == cols());
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typedef typename ei_stem_function<Scalar>::ComplexScalar ComplexScalar;
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eigen_assert(rows() == cols());
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typedef typename internal::stem_function<Scalar>::ComplexScalar ComplexScalar;
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return MatrixFunctionReturnValue<Derived>(derived(), StdStemFunctions<ComplexScalar>::sinh);
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}
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template <typename Derived>
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const MatrixFunctionReturnValue<Derived> MatrixBase<Derived>::cosh() const
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{
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ei_assert(rows() == cols());
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typedef typename ei_stem_function<Scalar>::ComplexScalar ComplexScalar;
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eigen_assert(rows() == cols());
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typedef typename internal::stem_function<Scalar>::ComplexScalar ComplexScalar;
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return MatrixFunctionReturnValue<Derived>(derived(), StdStemFunctions<ComplexScalar>::cosh);
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}
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@@ -41,7 +41,7 @@ class MatrixFunctionAtomic
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typedef typename MatrixType::Scalar Scalar;
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typedef typename MatrixType::Index Index;
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typedef typename NumTraits<Scalar>::Real RealScalar;
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typedef typename ei_stem_function<Scalar>::type StemFunction;
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typedef typename internal::stem_function<Scalar>::type StemFunction;
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typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
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/** \brief Constructor
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@@ -99,7 +99,7 @@ MatrixType MatrixFunctionAtomic<MatrixType>::compute(const MatrixType& A)
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return F;
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}
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}
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ei_assert("Taylor series does not converge" && 0);
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eigen_assert("Taylor series does not converge" && 0);
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return F;
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}
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