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JacobiSVD doc fix
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@ -311,13 +311,8 @@ template<typename _MatrixType, int QRPreconditioner> class JacobiSVD
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* By default, none is computed. This is a bit-field, the possible bits are ComputeFullU, ComputeThinU,
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* ComputeFullV, ComputeThinV.
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*
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* Thin unitaries are not available with the default FullPivHouseholderQRPreconditioner, see class documentation for details.
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* If you want thin unitaries, use another preconditioner, for example:
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* \code
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* JacobiSVD<MatrixXf, ColPivHouseholderQRPreconditioner> svd(matrix, ComputeThinU);
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* \endcode
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*
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* Thin unitaries also are only available if your matrix type has a Dynamic number of columns (for example MatrixXf).
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* Thin unitaries are only available if your matrix type has a Dynamic number of columns (for example MatrixXf). They also are not
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* available with the (non-default) FullPivHouseholderQR preconditioner.
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*/
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JacobiSVD(const MatrixType& matrix, unsigned int computationOptions = 0)
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{
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@ -331,13 +326,8 @@ template<typename _MatrixType, int QRPreconditioner> class JacobiSVD
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* By default, none is computed. This is a bit-field, the possible bits are ComputeFullU, ComputeThinU,
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* ComputeFullV, ComputeThinV.
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*
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* Thin unitaries are not available with the default FullPivHouseholderQRPreconditioner, see class documentation for details.
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* If you want thin unitaries, use another preconditioner, for example:
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* \code
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* JacobiSVD<MatrixXf, ColPivHouseholderQRPreconditioner> svd(matrix, ComputeThinU);
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* \endcode
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*
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* Thin unitaries also are only available if your matrix type has a Dynamic number of columns (for example MatrixXf).
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* Thin unitaries are only available if your matrix type has a Dynamic number of columns (for example MatrixXf). They also are not
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* available with the (non-default) FullPivHouseholderQR preconditioner.
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*/
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JacobiSVD& compute(const MatrixType& matrix, unsigned int computationOptions = 0);
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