Searched refs:colwise (Results 1 - 25 of 37) sorted by relevance
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/external/eigen/doc/snippets/ |
H A D | PartialRedux_maxCoeff.cpp | 3 cout << "Here is the maximum of each column:" << endl << m.colwise().maxCoeff() << endl;
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H A D | PartialRedux_minCoeff.cpp | 3 cout << "Here is the minimum of each column:" << endl << m.colwise().minCoeff() << endl;
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H A D | PartialRedux_norm.cpp | 3 cout << "Here is the norm of each column:" << endl << m.colwise().norm() << endl;
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H A D | MatrixBase_colwise.cpp | 3 cout << "Here is the sum of each column:" << endl << m.colwise().sum() << endl; 5 << endl << m.cwiseAbs().colwise().maxCoeff() << endl;
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H A D | DirectionWise_replicate.cpp | 3 cout << "m.colwise().replicate<3>() = ..." << endl; 4 cout << m.colwise().replicate<3>() << endl;
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H A D | Vectorwise_reverse.cpp | 4 cout << "Here is the colwise reverse of m:" << endl << m.colwise().reverse() << endl; 9 //m.colwise().reverse()(1,0) = 4;
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/external/eigen/doc/examples/ |
H A D | Tutorial_ReductionsVisitorsBroadcasting_broadcast_1nn.cpp | 20 (m.colwise() - v).colwise().squaredNorm().minCoeff(&index);
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H A D | Tutorial_ReductionsVisitorsBroadcasting_colwise.cpp | 12 << mat.colwise().maxCoeff() << std::endl;
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H A D | Tutorial_ReductionsVisitorsBroadcasting_broadcast_simple.cpp | 17 mat.colwise() += v;
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H A D | Tutorial_ReductionsVisitorsBroadcasting_maxnorm.cpp | 13 float maxNorm = mat.colwise().sum().maxCoeff(&maxIndex);
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/external/eigen/test/ |
H A D | vectorwiseop.cpp | 37 m2.colwise() += colvec; 38 VERIFY_IS_APPROX(m2, m1.colwise() + colvec); 41 VERIFY_RAISES_ASSERT(m2.colwise() += colvec.transpose()); 42 VERIFY_RAISES_ASSERT(m1.colwise() + colvec.transpose()); 55 m2.colwise() -= colvec; 56 VERIFY_IS_APPROX(m2, m1.colwise() - colvec); 59 VERIFY_RAISES_ASSERT(m2.colwise() -= colvec.transpose()); 60 VERIFY_RAISES_ASSERT(m1.colwise() - colvec.transpose()); 73 m2.colwise() *= colvec; 74 VERIFY_IS_APPROX(m2, m1.colwise() * colve [all...] |
H A D | geo_homogeneous.cpp | 43 VERIFY_IS_APPROX(m0.colwise().homogeneous(), hm0); 44 VERIFY_IS_APPROX(m0, hm0.colwise().hnormalized()); 48 VERIFY_IS_APPROX(m0, hm0.colwise().hnormalized()); 52 VERIFY_IS_APPROX(t1 * (m0.colwise().homogeneous().eval()), t1 * m0.colwise().homogeneous()); 56 VERIFY_IS_APPROX(t2 * (m0.colwise().homogeneous().eval()), t2 * m0.colwise().homogeneous()); 81 pts1 = pts.colwise().homogeneous(); 82 VERIFY_IS_APPROX(aff * pts.colwise().homogeneous(), (aff * pts1).colwise() [all...] |
H A D | array_for_matrix.cpp | 45 VERIFY_IS_MUCH_SMALLER_THAN(m1.colwise().sum().sum() - m1.sum(), m1.cwiseAbs().maxCoeff()); 47 VERIFY_IS_MUCH_SMALLER_THAN(m1.colwise().sum() + m2.colwise().sum() - (m1+m2).colwise().sum(), (m1+m2).cwiseAbs().maxCoeff()); 49 VERIFY_IS_APPROX(m1.colwise().sum(), m1.colwise().redux(internal::scalar_sum_op<Scalar>())); 53 VERIFY_IS_APPROX(m3.colwise() += cv1, m1.colwise() + cv1); 55 VERIFY_IS_APPROX(m3.colwise() -= cv1, m1.colwise() [all...] |
H A D | stable_norm.cpp | 93 VERIFY_IS_APPROX(vrand.colwise().stableNorm(), vrand.colwise().norm()); 94 VERIFY_IS_APPROX(vrand.colwise().blueNorm(), vrand.colwise().norm()); 95 VERIFY_IS_APPROX(vrand.colwise().hypotNorm(), vrand.colwise().norm());
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H A D | array.cpp | 67 VERIFY_IS_APPROX(m1.colwise().sum().sum(), m1.sum()); 71 VERIFY_IS_APPROX(m1.colwise().sum(), m1.colwise().redux(internal::scalar_sum_op<Scalar>())); 75 VERIFY_IS_APPROX(m3.colwise() += cv1, m1.colwise() + cv1); 77 VERIFY_IS_APPROX(m3.colwise() -= cv1, m1.colwise() - cv1); 145 // TODO allows colwise/rowwise for array 146 VERIFY_IS_APPROX(((m1.abs()+1)>RealScalar(0.1)).colwise().count(), ArrayOfIndices::Constant(cols,rows).transpose());
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H A D | geo_orthomethods.cpp | 43 // colwise/rowwise cross product 48 mcross = mat3.colwise().cross(vec3); 91 // colwise/rowwise cross product 97 mcross3N = mat3N.colwise().cross(vec3);
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H A D | array_replicate.cpp | 57 VERIFY_IS_APPROX(vx1, v1.colwise().replicate(f2));
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H A D | array_reverse.cpp | 76 MatrixType m1_cr = m1.colwise().reverse(); 77 // Verify that PartialRedux::reverse() works (for colwise()) 101 m1.colwise().reverse()(r, c) = x;
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H A D | eigensolver_generic.cpp | 45 VERIFY_IS_APPROX(ei1.eigenvectors().colwise().norm(), RealVectorType::Ones(rows).transpose());
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/external/eigen/test/eigen2/ |
H A D | eigen2_array.cpp | 45 VERIFY_IS_APPROX(m1.colwise().sum().sum(), m1.sum()); 49 VERIFY_IS_APPROX(m1.colwise().sum(), m1.colwise().redux(internal::scalar_sum_op<Scalar>())); 103 VERIFY_IS_APPROX(((m1.cwise().abs().cwise()+1).cwise()>RealScalar(0.1)).colwise().count().template cast<int>(), RowVectorXi::Constant(cols,rows));
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/external/eigen/Eigen/src/Geometry/ |
H A D | Umeyama.h | 123 const RowMajorMatrixType src_demean = src.colwise() - src_mean; 124 const RowMajorMatrixType dst_demean = dst.colwise() - dst_mean;
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/external/eigen/doc/ |
H A D | tutorial.cpp | 45 std::cout << "m4.colwise().sum():\n" << m4.colwise().sum() << std::endl;
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/external/eigen/bench/ |
H A D | geometry.cpp | 60 data = (t * data.colwise().homogeneous()).template block<Dim,Data::ColsAtCompileTime>(0,0);
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/external/eigen/unsupported/Eigen/src/Splines/ |
H A D | SplineFitting.h | 73 chord_lengths.rightCols(n-1) = (pts.array().leftCols(n-1) - pts.array().rightCols(n-1)).matrix().colwise().norm();
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/external/ceres-solver/internal/ceres/ |
H A D | dense_sparse_matrix.cc | 112 VectorRef(x, num_cols()) = m_.colwise().squaredNorm();
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