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  /external/eigen/Eigen/src/Eigenvalues/
SelfAdjointEigenSolver_MKL.h 51 bool computeEigenvectors = (options&ComputeEigenvectors)==ComputeEigenvectors; \
60 if(computeEigenvectors) m_eivec.setOnes(n,n); \
63 m_eigenvectorsOk = computeEigenvectors; \
70 jobz = computeEigenvectors ? 'V' : 'N'; \
75 m_eigenvectorsOk = computeEigenvectors; \
ComplexEigenSolver.h 119 * \param[in] computeEigenvectors If true, both the eigenvectors and the
125 ComplexEigenSolver(const MatrixType& matrix, bool computeEigenvectors = true)
133 compute(matrix, computeEigenvectors);
144 * \p computeEigenvectors was set to true (the default).
190 * \param[in] computeEigenvectors If true, both the eigenvectors and the
197 * \p computeEigenvectors is true, then the eigenvectors are also computed
211 ComplexEigenSolver& compute(const MatrixType& matrix, bool computeEigenvectors = true);
246 void sortEigenvalues(bool computeEigenvectors);
252 ComplexEigenSolver<MatrixType>::compute(const MatrixType& matrix, bool computeEigenvectors)
259 m_schur.compute(matrix, computeEigenvectors);
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SelfAdjointEigenSolver.h 142 * \param[in] options Can be #ComputeEigenvectors (default) or #EigenvaluesOnly.
146 * \p options equals #ComputeEigenvectors.
153 SelfAdjointEigenSolver(const MatrixType& matrix, int options = ComputeEigenvectors)
166 * \param[in] options Can be #ComputeEigenvectors (default) or #EigenvaluesOnly.
170 * function can be used to retrieve them. If \p options equals #ComputeEigenvectors,
192 SelfAdjointEigenSolver& compute(const MatrixType& matrix, int options = ComputeEigenvectors);
208 SelfAdjointEigenSolver& computeDirect(const MatrixType& matrix, int options = ComputeEigenvectors);
324 SelfAdjointEigenSolver(const MatrixType& matrix, bool computeEigenvectors)
330 compute(matrix, computeEigenvectors);
333 SelfAdjointEigenSolver(const MatrixType& matA, const MatrixType& matB, bool computeEigenvectors = true
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GeneralizedEigenSolver.h 140 * \param[in] computeEigenvectors If true, both the eigenvectors and the
148 GeneralizedEigenSolver(const MatrixType& A, const MatrixType& B, bool computeEigenvectors = true)
158 compute(A, B, computeEigenvectors);
168 * \p computeEigenvectors was set to true (the default).
230 * \param[in] computeEigenvectors If true, both the eigenvectors and the
237 * \p computeEigenvectors is true, then the eigenvectors are also computed
249 GeneralizedEigenSolver& compute(const MatrixType& A, const MatrixType& B, bool computeEigenvectors = true);
291 GeneralizedEigenSolver<MatrixType>::compute(const MatrixType& A, const MatrixType& B, bool computeEigenvectors)
299 m_realQZ.compute(A, B, computeEigenvectors);
304 if (computeEigenvectors)
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EigenSolver.h 134 * \param[in] computeEigenvectors If true, both the eigenvectors and the
146 EigenSolver(const MatrixType& matrix, bool computeEigenvectors = true)
155 compute(matrix, computeEigenvectors);
165 * \p computeEigenvectors was set to true (the default).
187 * \p computeEigenvectors was set to true (the default).
252 * \param[in] computeEigenvectors If true, both the eigenvectors and the
259 * \p computeEigenvectors is true, then the eigenvectors are also computed
268 * (where \f$ n \f$ is the size of the matrix) if \p computeEigenvectors
269 * is true, and \f$ 10n^3 \f$ if \p computeEigenvectors is false.
276 EigenSolver& compute(const MatrixType& matrix, bool computeEigenvectors = true)
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