Searched refs:rowwise (Results 1 - 25 of 30) sorted by relevance

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/external/eigen/doc/snippets/
H A DPartialRedux_prod.cpp3 cout << "Here is the product of each row:" << endl << m.rowwise().prod() << endl;
H A DPartialRedux_squaredNorm.cpp3 cout << "Here is the square norm of each row:" << endl << m.rowwise().squaredNorm() << endl;
H A DPartialRedux_sum.cpp3 cout << "Here is the sum of each row:" << endl << m.rowwise().sum() << endl;
H A DMatrixBase_rowwise.cpp3 cout << "Here is the sum of each row:" << endl << m.rowwise().sum() << endl;
5 << endl << m.cwiseAbs().rowwise().maxCoeff() << endl;
H A DVectorwise_reverse.cpp3 cout << "Here is the rowwise reverse of m:" << endl << m.rowwise().reverse() << endl;
7 << m.rowwise().reverse()(1,0) << endl;
H A DDirectionWise_replicate_int.cpp3 cout << "v.rowwise().replicate(5) = ..." << endl;
4 cout << v.rowwise().replicate(5) << endl;
H A DPartialRedux_count.cpp3 cout << "Here is the count of elements larger or equal than 0.5 of each row:" << endl << (m.array() >= 0.5).rowwise().count() << endl;
/external/eigen/doc/examples/
H A DTutorial_ReductionsVisitorsBroadcasting_rowwise.cpp12 << mat.rowwise().maxCoeff() << std::endl;
H A DTutorial_ReductionsVisitorsBroadcasting_broadcast_simple_rowwise.cpp16 mat.rowwise() += v.transpose();
/external/eigen/test/
H A Dvectorwiseop.cpp44 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
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H A Dgeo_homogeneous.cpp58 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);
H A Dstable_norm.cpp106 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());
H A Darray_for_matrix.cpp45 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
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H A Darray.cpp67 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));
H A Dgeo_orthomethods.cpp43 // colwise/rowwise cross product
50 mcross = mat3.rowwise().cross(vec3);
91 // colwise/rowwise cross product
102 mcrossN3 = matN3.rowwise().cross(vec3);
H A Darray_replicate.cpp51 VERIFY_IS_APPROX(x2, v1.rowwise().replicate(f1));
H A Darray_reverse.cpp84 MatrixType m1_rr = m1.rowwise().reverse();
85 // Verify that PartialRedux::reverse() works (for rowwise())
104 m1.rowwise().reverse()(r, c) = x;
H A Dhouseholder.cpp69 m3.rowwise() = v1.transpose();
/external/eigen/Eigen/src/Geometry/
H A DUmeyama.h119 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;
/external/eigen/unsupported/Eigen/src/MatrixFunctions/
H A DMatrixFunctionAtomic.h109 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();
/external/eigen/doc/
H A Dtutorial.cpp46 std::cout << "m4.rowwise().sum():\n" << m4.rowwise().sum() << std::endl;
/external/eigen/test/eigen2/
H A Deigen2_array.cpp46 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));
/external/ceres-solver/examples/
H A Dellipse_approximation.cc407 (X.rowwise() - kY.row(i)).rowwise().squaredNorm().minCoeff(&t[i]);
/external/eigen/unsupported/Eigen/src/AutoDiff/
H A DAutoDiffVector.h64 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()); }
/external/eigen/Eigen/src/Core/
H A DDenseBase.h440 ConstRowwiseReturnType rowwise() const;
441 RowwiseReturnType rowwise();

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