56         m_sigma((std::min)(matrix.rows(),matrix.cols()))  in SVD()
65     const SingularValuesType& singularValues() const { return m_sigma; }  in singularValues()
86     SingularValuesType m_sigma;  variable
104   m_sigma.resize((std::min)(m,n));  in compute()
124       m_sigma[k] = matA.col(k).end(m-k).norm();  in compute()
125       if (m_sigma[k] != 0.0) // FIXME  in compute()
128           m_sigma[k] = -m_sigma[k];  in compute()
129         matA.col(k).end(m-k) /= m_sigma[k];  in compute()
132       m_sigma[k] = -m_sigma[k];  in compute()
137       if ((k < nct) && (m_sigma[k] != 0.0))  in compute()
185     m_sigma[nct] = matA(nct,nct);  in compute()
187     m_sigma[p-1] = 0.0;  in compute()
202       if (m_sigma[k] != 0.0)  in compute()
267       if (ei_abs(e[k]) <= eps*(ei_abs(m_sigma[k]) + ei_abs(m_sigma[k+1])))  in compute()
285         if (ei_abs(m_sigma[ks]) <= eps*t)  in compute()
287           m_sigma[ks] = 0.0;  in compute()
318           Scalar t(internal::hypot(m_sigma[j],f));  in compute()
319           Scalar cs(m_sigma[j]/t);  in compute()
321           m_sigma[j] = t;  in compute()
347           Scalar t(internal::hypot(m_sigma[j],f));  in compute()
348           Scalar cs( m_sigma[j]/t);  in compute()
350           m_sigma[j] = t;  in compute()
371                         ei_abs(m_sigma[p-1]),ei_abs(m_sigma[p-2])),ei_abs(e[p-2])),  in compute()
372                         ei_abs(m_sigma[k])),ei_abs(e[k]));  in compute()
373         Scalar sp = m_sigma[p-1]/scale;  in compute()
374         Scalar spm1 = m_sigma[p-2]/scale;  in compute()
376         Scalar sk = m_sigma[k]/scale;  in compute()
400           f = cs*m_sigma[j] + sn*e[j];  in compute()
401           e[j] = cs*e[j] - sn*m_sigma[j];  in compute()
402           g = sn*m_sigma[j+1];  in compute()
403           m_sigma[j+1] = cs*m_sigma[j+1];  in compute()
416           m_sigma[j] = t;  in compute()
417           f = cs*e[j] + sn*m_sigma[j+1];  in compute()
418           m_sigma[j+1] = -sn*e[j] + cs*m_sigma[j+1];  in compute()
440         if (m_sigma[k] <= 0.0)  in compute()
442           m_sigma[k] = m_sigma[k] < Scalar(0) ? -m_sigma[k] : Scalar(0);  in compute()
450           if (m_sigma[k] >= m_sigma[k+1])  in compute()
452           Scalar t = m_sigma[k];  in compute()
453           m_sigma[k] = m_sigma[k+1];  in compute()
454           m_sigma[k+1] = t;  in compute()
479     Scalar p = m_sigma.coeff(i);  in sort()
483       if (m_sigma.coeff(j) > p)  in sort()
486         p = m_sigma.coeff(j);  in sort()
491       m_sigma.coeffRef(k) = m_sigma.coeff(i);  // i.e.  in sort()
492       m_sigma.coeffRef(i) = p;                 // swaps the i-th and the k-th elements  in sort()
518   Scalar maxVal = m_sigma.cwise().abs().maxCoeff();  in solve()
525       Scalar si = m_sigma.coeff(i);  in solve()
552   if(positive) *positive = m_matV * m_sigma.asDiagonal() * m_matV.adjoint();  in computeUnitaryPositive()
570   if(positive) *positive = m_matU * m_sigma.asDiagonal() * m_matU.adjoint();  in computePositiveUnitary()
588   Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> sv(m_sigma);  in computeRotationScaling()
614   Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> sv(m_sigma);  in computeScalingRotation()