Searched refs:colwise (Results 26 - 38 of 38) sorted by relevance
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| /external/eigen/test/eigen2/ |
| H A D | eigen2_eigensolver.cpp | 77 MatrixType normalized_eivec = eiSymmGen.eigenvectors()*eiSymmGen.eigenvectors().colwise().norm().asDiagonal().inverse();
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| H A D | eigen2_geometry.cpp | 412 // colwise/rowwise cross product
417 mcross = mat3.colwise().cross(vec3);
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| H A D | eigen2_geometry_with_eigen2_prefix.cpp | 414 // colwise/rowwise cross product
419 mcross = mat3.colwise().cross(vec3);
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| /external/eigen/test/ |
| H A D | householder.cpp | 57 m1.colwise() = v1;
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| /external/eigen/Eigen/src/Core/ |
| H A D | DenseBase.h | 442 ConstColwiseReturnType colwise() const;
443 ColwiseReturnType colwise();
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| H A D | VectorwiseOp.h | 158 * It is the return type of DenseBase::colwise() and DenseBase::rowwise()
164 * \sa DenseBase::colwise(), DenseBase::rowwise(), class PartialReduxExpr
272 * \sa class VectorwiseOp, DenseBase::colwise(), DenseBase::rowwise()
599 DenseBase<Derived>::colwise() const function in class:Eigen::DenseBase
610 DenseBase<Derived>::colwise() function in class:Eigen::DenseBase
620 * \sa colwise(), class VectorwiseOp, \ref TutorialReductionsVisitorsBroadcasting
631 * \sa colwise(), class VectorwiseOp, \ref TutorialReductionsVisitorsBroadcasting
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| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| H A D | HybridNonLinearSolver.h | 202 wa2 = fjac.colwise().blueNorm();
445 wa2 = fjac.colwise().blueNorm();
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| H A D | LevenbergMarquardt.h | 224 wa2 = fjac.colwise().blueNorm();
461 wa2 = fjac.colwise().blueNorm();
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| /external/ceres-solver/internal/ceres/ |
| H A D | block_sparse_matrix.cc | 140 VectorRef(x + col_block_pos, col_block_size) += m.colwise().squaredNorm();
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| /external/eigen/Eigen/src/Geometry/ |
| H A D | Homogeneous.h | 295 dst += m_rhs.row(m_rhs.rows()-1).colwise()
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| /external/eigen/unsupported/Eigen/src/MatrixFunctions/ |
| H A D | MatrixExponential.h | 171 m_l1norm(M.cwiseAbs().colwise().sum().maxCoeff())
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| H A D | MatrixLogarithm.h | 140 RealScalar normTminusI = (T - MatrixType::Identity(T.rows(), T.rows())).cwiseAbs().colwise().sum().maxCoeff();
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| H A D | MatrixPower.h | 160 normIminusT = IminusT.cwiseAbs().colwise().sum().maxCoeff();
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