55         m_matV(matrix.cols(),matrix.cols()),  in SVD()
66     const MatrixVType& matrixV() const { return m_matV; }  in matrixV()
84     MatrixVType m_matV;  variable
105   m_matV.resize(n,n);  in compute()
177         m_matV.col(k).end(n-k-1) = e.end(n-k-1);  in compute()
232 …Scalar t = m_matV.col(k).end(n-k-1).eigen2_dot(m_matV.col(j).end(n-k-1)); // FIXME is it really a …  in compute()
233           t = -t/m_matV(k+1,k);  in compute()
234           m_matV.col(j).end(n-k-1) += t * m_matV.col(k).end(n-k-1);  in compute()
237       m_matV.col(k).setZero();  in compute()
238       m_matV(k,k) = 1.0;  in compute()
331               t = cs*m_matV(i,j) + sn*m_matV(i,p-1);  in compute()
332               m_matV(i,p-1) = -sn*m_matV(i,j) + cs*m_matV(i,p-1);  in compute()
333               m_matV(i,j) = t;  in compute()
408               t = cs*m_matV(i,j) + sn*m_matV(i,j+1);  in compute()
409               m_matV(i,j+1) = -sn*m_matV(i,j) + cs*m_matV(i,j+1);  in compute()
410               m_matV(i,j) = t;  in compute()
444             m_matV.col(k).start(pp+1) = -m_matV.col(k).start(pp+1);  in compute()
456             m_matV.col(k).swap(m_matV.col(k+1));  in compute()
473   int mv = m_matV.rows();  in sort()
500         std::swap(m_matV.coeffRef(s,i), m_matV.coeffRef(s,k));  in sort()
531     result->col(j) = m_matV * aux;  in solve()
549   ei_assert(m_matU.cols() == m_matV.cols() && "Polar decomposition is only for square matrices");  in computeUnitaryPositive()
550   if(unitary) *unitary = m_matU * m_matV.adjoint();  in computeUnitaryPositive()
551   if(positive) *positive = m_matV * m_sigma.asDiagonal() * m_matV.adjoint();  in computeUnitaryPositive()
567   ei_assert(m_matU.rows() == m_matV.rows() && "Polar decomposition is only for square matrices");  in computePositiveUnitary()
568   if(unitary) *unitary = m_matU * m_matV.adjoint();  in computePositiveUnitary()
585   ei_assert(m_matU.rows() == m_matV.rows() && "Polar decomposition is only for square matrices");  in computeRotationScaling()
586   Scalar x = (m_matU * m_matV.adjoint()).determinant(); // so x has absolute value 1  in computeRotationScaling()
589   if(scaling) scaling->lazyAssign(m_matV * sv.asDiagonal() * m_matV.adjoint());  in computeRotationScaling()
594     rotation->lazyAssign(m * m_matV.adjoint());  in computeRotationScaling()
611   ei_assert(m_matU.rows() == m_matV.rows() && "Polar decomposition is only for square matrices");  in computeScalingRotation()
612   Scalar x = (m_matU * m_matV.adjoint()).determinant(); // so x has absolute value 1  in computeScalingRotation()
620     rotation->lazyAssign(m * m_matV.adjoint());  in computeScalingRotation()