Searched refs:m_workspace (Results 1 – 3 of 3) sorted by relevance
/external/eigen/unsupported/Eigen/src/SVD/ |
D | JacobiSVD.h | 84 if (svd.m_computeFullU) m_workspace.resize(svd.rows()); in allocate() 93 if(svd.m_computeFullU) m_qr.matrixQ().evalTo(svd.m_matrixU, m_workspace); in run() 102 WorkspaceType m_workspace; variable 130 if (svd.m_computeFullV) m_workspace.resize(svd.cols()); in allocate() 140 if(svd.m_computeFullV) m_qr.matrixQ().evalTo(svd.m_matrixV, m_workspace); in run() 150 typename internal::plain_row_type<MatrixType>::type m_workspace; variable 168 if (svd.m_computeFullU) m_workspace.resize(svd.rows()); in allocate() 169 else if (svd.m_computeThinU) m_workspace.resize(svd.cols()); in allocate() 178 if(svd.m_computeFullU) m_qr.householderQ().evalTo(svd.m_matrixU, m_workspace); in run() 182 m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixU, m_workspace); in run() [all …]
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/external/eigen/Eigen/src/SVD/ |
D | JacobiSVD.h | 84 if (svd.m_computeFullU) m_workspace.resize(svd.rows()); in allocate() 93 if(svd.m_computeFullU) m_qr.matrixQ().evalTo(svd.m_matrixU, m_workspace); in run() 102 WorkspaceType m_workspace; variable 130 if (svd.m_computeFullV) m_workspace.resize(svd.cols()); in allocate() 140 if(svd.m_computeFullV) m_qr.matrixQ().evalTo(svd.m_matrixV, m_workspace); in run() 150 typename internal::plain_row_type<MatrixType>::type m_workspace; variable 168 if (svd.m_computeFullU) m_workspace.resize(svd.rows()); in allocate() 169 else if (svd.m_computeThinU) m_workspace.resize(svd.cols()); in allocate() 178 if(svd.m_computeFullU) m_qr.householderQ().evalTo(svd.m_matrixU, m_workspace); in run() 182 m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixU, m_workspace); in run() [all …]
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/external/eigen/Eigen/src/Eigenvalues/ |
D | RealQZ.h | 91 m_workspace(size*2), in m_S() 109 m_workspace(A.rows()*2), 192 Matrix<Scalar,Dynamic,1> m_workspace; variable 486 … middleRows<3>(k).rightCols(dim-fc).applyHouseholderOnTheLeft(essential2, tau, m_workspace.data()); in step() 487 … middleRows<3>(k).rightCols(dim-fc).applyHouseholderOnTheLeft(essential2, tau, m_workspace.data()); in step() 489 … m_Q.template middleCols<3>(k).applyHouseholderOnTheRight(essential2, tau, m_workspace.data()); in step() 499 Map<Matrix<Scalar,Dynamic,1> > tmp(m_workspace.data(),lr); in step() 514 Map<Matrix<Scalar,1,Dynamic> > tmp(m_workspace.data(),dim); in step() 569 m_workspace.resize(dim*2); in compute()
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