Cross Reference: /external/eigen/Eigen/src/Eigen2Support/SVD.h

Lines Matching defs:Scalar
33     typedef typename MatrixType::Scalar Scalar;
34     typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
37       PacketSize = internal::packet_traits<Scalar>::size,
42     typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> ColVector;
43     typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, 1> RowVector;
45     typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MinSize> MatrixUType;
46     typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, MatrixType::ColsAtCompileTime> MatrixVType;
47     typedef Matrix<Scalar, MinSize, 1> SingularValuesType;
140         Scalar t = matA.col(k).end(m-k).eigen2_dot(matA.col(j).end(m-k)); // FIXME dot product or cwise prod + .sum() ??
206           Scalar t = m_matU.col(k).end(m-k).eigen2_dot(m_matU.col(j).end(m-k)); // FIXME is it really a dot product we want ?
211         m_matU(k,k) = Scalar(1) + m_matU(k,k);
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 dot product we want ?
245   Scalar eps = ei_pow(Scalar(2),ei_is_same_type<Scalar,float>::ret ? Scalar(-23) : Scalar(-52));
284         Scalar t = (ks != p ? ei_abs(e[ks]) : Scalar(0)) + (ks != k+1 ? ei_abs(e[ks-1]) : Scalar(0));
314         Scalar f(e[p-2]);
318           Scalar t(numext::hypot(m_sigma[j],f));
319           Scalar cs(m_sigma[j]/t);
320           Scalar sn(f/t);
343         Scalar f(e[k-1]);
347           Scalar t(numext::hypot(m_sigma[j],f));
348           Scalar cs( m_sigma[j]/t);
349           Scalar sn(f/t);
370         Scalar scale = (std::max)((std::max)((std::max)((std::max)(
373         Scalar sp = m_sigma[p-1]/scale;
374         Scalar spm1 = m_sigma[p-2]/scale;
375         Scalar epm1 = e[p-2]/scale;
376         Scalar sk = m_sigma[k]/scale;
377         Scalar ek = e[k]/scale;
378         Scalar b = ((spm1 + sp)*(spm1 - sp) + epm1*epm1)/Scalar(2);
379         Scalar c = (sp*epm1)*(sp*epm1);
380         Scalar shift(0);
388         Scalar f = (sk + sp)*(sk - sp) + shift;
389         Scalar g = sk*ek;
395           Scalar t = numext::hypot(f,g);
396           Scalar cs = f/t;
397           Scalar sn = g/t;
442           m_sigma[k] = m_sigma[k] < Scalar(0) ? -m_sigma[k] : Scalar(0);
452           Scalar t = m_sigma[k];
479     Scalar p = m_sigma.coeff(i);
517   Scalar maxVal = m_sigma.cwise().abs().maxCoeff();
520     Matrix<Scalar,MatrixUType::RowsAtCompileTime,1> aux = m_matU.transpose() * b.col(j);
524       Scalar si = m_sigma.coeff(i);
586   Scalar x = (m_matU * m_matV.adjoint()).determinant(); // so x has absolute value 1
587   Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> sv(m_sigma);
612   Scalar x = (m_matU * m_matV.adjoint()).determinant(); // so x has absolute value 1
613   Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> sv(m_sigma);