Searched refs:rowwise (Results 1 - 25 of 30) sorted by relevance
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/external/eigen/doc/snippets/ |
H A D | PartialRedux_prod.cpp | 3 cout << "Here is the product of each row:" << endl << m.rowwise().prod() << endl;
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H A D | PartialRedux_squaredNorm.cpp | 3 cout << "Here is the square norm of each row:" << endl << m.rowwise().squaredNorm() << endl;
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H A D | PartialRedux_sum.cpp | 3 cout << "Here is the sum of each row:" << endl << m.rowwise().sum() << endl;
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H A D | MatrixBase_rowwise.cpp | 3 cout << "Here is the sum of each row:" << endl << m.rowwise().sum() << endl; 5 << endl << m.cwiseAbs().rowwise().maxCoeff() << endl;
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H A D | Vectorwise_reverse.cpp | 3 cout << "Here is the rowwise reverse of m:" << endl << m.rowwise().reverse() << endl; 7 << m.rowwise().reverse()(1,0) << endl;
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H A D | DirectionWise_replicate_int.cpp | 3 cout << "v.rowwise().replicate(5) = ..." << endl; 4 cout << v.rowwise().replicate(5) << endl;
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H A D | PartialRedux_count.cpp | 3 cout << "Here is the count of elements larger or equal than 0.5 of each row:" << endl << (m.array() >= 0.5).rowwise().count() << endl;
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/external/eigen/doc/examples/ |
H A D | Tutorial_ReductionsVisitorsBroadcasting_rowwise.cpp | 12 << mat.rowwise().maxCoeff() << std::endl;
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H A D | Tutorial_ReductionsVisitorsBroadcasting_broadcast_simple_rowwise.cpp | 16 mat.rowwise() += v.transpose();
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/external/eigen/test/ |
H A D | vectorwiseop.cpp | 44 m2.rowwise() += rowvec; 45 VERIFY_IS_APPROX(m2, m1.rowwise() + rowvec); 48 VERIFY_RAISES_ASSERT(m2.rowwise() += rowvec.transpose()); 49 VERIFY_RAISES_ASSERT(m1.rowwise() + rowvec.transpose()); 62 m2.rowwise() -= rowvec; 63 VERIFY_IS_APPROX(m2, m1.rowwise() - rowvec); 66 VERIFY_RAISES_ASSERT(m2.rowwise() -= rowvec.transpose()); 67 VERIFY_RAISES_ASSERT(m1.rowwise() - rowvec.transpose()); 80 m2.rowwise() *= rowvec; 81 VERIFY_IS_APPROX(m2, m1.rowwise() * rowve [all...] |
H A D | geo_homogeneous.cpp | 58 VERIFY_IS_APPROX((v0.transpose().rowwise().homogeneous().eval()) * t2, 59 v0.transpose().rowwise().homogeneous() * t2); 60 m0.transpose().rowwise().homogeneous().eval(); 61 VERIFY_IS_APPROX((m0.transpose().rowwise().homogeneous().eval()) * t2, 62 m0.transpose().rowwise().homogeneous() * t2); 65 VERIFY_IS_APPROX((v0.transpose().rowwise().homogeneous().eval()) * t3, 66 v0.transpose().rowwise().homogeneous() * t3); 67 VERIFY_IS_APPROX((m0.transpose().rowwise().homogeneous().eval()) * t3, 68 m0.transpose().rowwise().homogeneous() * t3);
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H A D | stable_norm.cpp | 106 VERIFY_IS_APPROX(vrand.rowwise().stableNorm(), vrand.rowwise().norm()); 107 VERIFY_IS_APPROX(vrand.rowwise().blueNorm(), vrand.rowwise().norm()); 108 VERIFY_IS_APPROX(vrand.rowwise().hypotNorm(), vrand.rowwise().norm());
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H A D | array_for_matrix.cpp | 45 VERIFY_IS_MUCH_SMALLER_THAN(m1.rowwise().sum().sum() - m1.sum(), m1.squaredNorm()); 47 VERIFY_IS_MUCH_SMALLER_THAN(m1.rowwise().sum() - m2.rowwise().sum() - (m1-m2).rowwise().sum(), (m1-m2).squaredNorm()); 56 VERIFY_IS_APPROX(m3.rowwise() += rv1, m1.rowwise() + rv1); 58 VERIFY_IS_APPROX(m3.rowwise() -= rv1, m1.rowwise() - rv1); 62 VERIFY_IS_APPROX(m1.block(0,0,rows,0).rowwise().prod(), ColVectorType::Ones(rows)); 128 // TODO allows colwise/rowwise fo [all...] |
H A D | array.cpp | 67 VERIFY_IS_APPROX(m1.abs().rowwise().sum().sum(), m1.abs().sum()); 70 VERIFY_IS_MUCH_SMALLER_THAN(abs(m1.rowwise().sum().sum() - m1.sum()), m1.abs().sum()); 72 VERIFY_IS_NOT_APPROX(((m1+m2).rowwise().sum()).sum(), m1.sum()); 81 VERIFY_IS_APPROX(m3.rowwise() += rv1, m1.rowwise() + rv1); 83 VERIFY_IS_APPROX(m3.rowwise() -= rv1, m1.rowwise() - rv1); 147 // TODO allows colwise/rowwise for array 149 VERIFY_IS_APPROX(((m1.abs()+1)>RealScalar(0.1)).rowwise().count(), ArrayOfIndices::Constant(rows, cols));
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H A D | geo_orthomethods.cpp | 43 // colwise/rowwise cross product 50 mcross = mat3.rowwise().cross(vec3); 91 // colwise/rowwise cross product 102 mcrossN3 = matN3.rowwise().cross(vec3);
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H A D | array_replicate.cpp | 51 VERIFY_IS_APPROX(x2, v1.rowwise().replicate(f1));
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H A D | array_reverse.cpp | 84 MatrixType m1_rr = m1.rowwise().reverse(); 85 // Verify that PartialRedux::reverse() works (for rowwise()) 104 m1.rowwise().reverse()(r, c) = x;
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H A D | householder.cpp | 69 m3.rowwise() = v1.transpose();
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/external/eigen/Eigen/src/Geometry/ |
H A D | Umeyama.h | 119 const VectorType src_mean = src.rowwise().sum() * one_over_n; 120 const VectorType dst_mean = dst.rowwise().sum() * one_over_n; 127 const Scalar src_var = src_demean.rowwise().squaredNorm().sum() * one_over_n;
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/external/eigen/unsupported/Eigen/src/MatrixFunctions/ |
H A D | MatrixFunctionAtomic.h | 109 const RealScalar F_norm = F.cwiseAbs().rowwise().sum().maxCoeff(); 110 const RealScalar Fincr_norm = Fincr.cwiseAbs().rowwise().sum().maxCoeff(); 122 const RealScalar P_norm = P.cwiseAbs().rowwise().sum().maxCoeff();
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/external/eigen/doc/ |
H A D | tutorial.cpp | 46 std::cout << "m4.rowwise().sum():\n" << m4.rowwise().sum() << std::endl;
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/external/eigen/test/eigen2/ |
H A D | eigen2_array.cpp | 46 VERIFY_IS_APPROX(m1.rowwise().sum().sum(), m1.sum()); 48 VERIFY_IS_NOT_APPROX(((m1+m2).rowwise().sum()).sum(), m1.sum()); 104 VERIFY_IS_APPROX(((m1.cwise().abs().cwise()+1).cwise()>RealScalar(0.1)).rowwise().count().template cast<int>(), VectorXi::Constant(rows, cols));
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/external/ceres-solver/examples/ |
H A D | ellipse_approximation.cc | 407 (X.rowwise() - kY.row(i)).rowwise().squaredNorm().minCoeff(&t[i]);
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/external/eigen/unsupported/Eigen/src/AutoDiff/ |
H A D | AutoDiffVector.h | 64 Scalar sum() const { /*std::cerr << "sum \n\n";*/ /*std::cerr << m_jacobian.rowwise().sum() << "\n\n";*/ return Scalar(m_values.sum(), m_jacobian.rowwise().sum()); }
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/external/eigen/Eigen/src/Core/ |
H A D | DenseBase.h | 440 ConstRowwiseReturnType rowwise() const; 441 RowwiseReturnType rowwise();
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