Searched refs:colwise (Results 1 - 25 of 38) sorted by relevance

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/external/eigen/doc/snippets/
H A DPartialRedux_maxCoeff.cpp3 cout << "Here is the maximum of each column:" << endl << m.colwise().maxCoeff() << endl;
H A DPartialRedux_minCoeff.cpp3 cout << "Here is the minimum of each column:" << endl << m.colwise().minCoeff() << endl;
H A DPartialRedux_norm.cpp3 cout << "Here is the norm of each column:" << endl << m.colwise().norm() << endl;
H A DMatrixBase_colwise.cpp3 cout << "Here is the sum of each column:" << endl << m.colwise().sum() << endl;
5 << endl << m.cwiseAbs().colwise().maxCoeff() << endl;
H A DDirectionWise_replicate.cpp3 cout << "m.colwise().replicate<3>() = ..." << endl;
4 cout << m.colwise().replicate<3>() << endl;
H A DVectorwise_reverse.cpp4 cout << "Here is the colwise reverse of m:" << endl << m.colwise().reverse() << endl;
9 //m.colwise().reverse()(1,0) = 4;
/external/eigen/doc/examples/
H A DTutorial_ReductionsVisitorsBroadcasting_broadcast_1nn.cpp20 (m.colwise() - v).colwise().squaredNorm().minCoeff(&index);
H A DTutorial_ReductionsVisitorsBroadcasting_colwise.cpp12 << mat.colwise().maxCoeff() << std::endl;
H A DTutorial_ReductionsVisitorsBroadcasting_broadcast_simple.cpp17 mat.colwise() += v;
H A DTutorial_ReductionsVisitorsBroadcasting_maxnorm.cpp13 float maxNorm = mat.colwise().sum().maxCoeff(&maxIndex);
/external/eigen/test/
H A Dgeo_homogeneous.cpp43 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()
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H A Dvectorwiseop.cpp36 m2.colwise() += colvec;
37 VERIFY_IS_APPROX(m2, m1.colwise() + colvec);
40 VERIFY_RAISES_ASSERT(m2.colwise() += colvec.transpose());
41 VERIFY_RAISES_ASSERT(m1.colwise() + colvec.transpose());
54 m2.colwise() -= colvec;
55 VERIFY_IS_APPROX(m2, m1.colwise() - colvec);
58 VERIFY_RAISES_ASSERT(m2.colwise() -= colvec.transpose());
59 VERIFY_RAISES_ASSERT(m1.colwise() - colvec.transpose());
72 m2.colwise() *= colvec;
73 VERIFY_IS_APPROX(m2, m1.colwise() * colve
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H A Dstable_norm.cpp103 VERIFY_IS_APPROX(vrand.colwise().stableNorm(), vrand.colwise().norm());
104 VERIFY_IS_APPROX(vrand.colwise().blueNorm(), vrand.colwise().norm());
105 VERIFY_IS_APPROX(vrand.colwise().hypotNorm(), vrand.colwise().norm());
H A Darray_for_matrix.cpp44 VERIFY_IS_MUCH_SMALLER_THAN(m1.colwise().sum().sum() - m1.sum(), m1.squaredNorm());
46 VERIFY_IS_MUCH_SMALLER_THAN(m1.colwise().sum() + m2.colwise().sum() - (m1+m2).colwise().sum(), (m1+m2).squaredNorm());
48 VERIFY_IS_APPROX(m1.colwise().sum(), m1.colwise().redux(internal::scalar_sum_op<Scalar>()));
52 VERIFY_IS_APPROX(m3.colwise() += cv1, m1.colwise() + cv1);
54 VERIFY_IS_APPROX(m3.colwise() -= cv1, m1.colwise()
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H A Darray.cpp66 VERIFY_IS_APPROX(m1.abs().colwise().sum().sum(), m1.abs().sum());
69 VERIFY_IS_MUCH_SMALLER_THAN(abs(m1.colwise().sum().sum() - m1.sum()), m1.abs().sum());
73 VERIFY_IS_APPROX(m1.colwise().sum(), m1.colwise().redux(internal::scalar_sum_op<Scalar>()));
77 VERIFY_IS_APPROX(m3.colwise() += cv1, m1.colwise() + cv1);
79 VERIFY_IS_APPROX(m3.colwise() -= cv1, m1.colwise() - cv1);
147 // TODO allows colwise/rowwise for array
148 VERIFY_IS_APPROX(((m1.abs()+1)>RealScalar(0.1)).colwise()
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H A Dgeo_orthomethods.cpp43 // colwise/rowwise cross product
48 mcross = mat3.colwise().cross(vec3);
91 // colwise/rowwise cross product
97 mcross3N = mat3N.colwise().cross(vec3);
H A Darray_replicate.cpp56 VERIFY_IS_APPROX(vx1, v1.colwise().replicate(f2));
H A Darray_reverse.cpp76 MatrixType m1_cr = m1.colwise().reverse();
77 // Verify that PartialRedux::reverse() works (for colwise())
101 m1.colwise().reverse()(r, c) = x;
H A Deigensolver_generic.cpp44 VERIFY_IS_APPROX(ei1.eigenvectors().colwise().norm(), RealVectorType::Ones(rows).transpose());
/external/eigen/test/eigen2/
H A Deigen2_array.cpp45 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));
/external/eigen/Eigen/src/Geometry/
H A DUmeyama.h123 const RowMajorMatrixType src_demean = src.colwise() - src_mean;
124 const RowMajorMatrixType dst_demean = dst.colwise() - dst_mean;
/external/eigen/doc/
H A Dtutorial.cpp45 std::cout << "m4.colwise().sum():\n" << m4.colwise().sum() << std::endl;
/external/ceres-solver/internal/ceres/
H A Ddense_sparse_matrix.cc97 VectorRef(x, num_cols()) = m_.colwise().squaredNorm();
/external/eigen/bench/
H A Dgeometry.cpp60 data = (t * data.colwise().homogeneous()).template block<Dim,Data::ColsAtCompileTime>(0,0);
/external/eigen/unsupported/Eigen/src/Splines/
H A DSplineFitting.h71 chord_lengths.rightCols(n-1) = (pts.array().leftCols(n-1) - pts.array().rightCols(n-1)).matrix().colwise().norm();

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