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Searched
refs:rowwise
(Results
1 - 25
of
34
) sorted by null
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/external/eigen/doc/snippets/
PartialRedux_prod.cpp
3
cout << "Here is the product of each row:" << endl << m.
rowwise
().prod() << endl;
PartialRedux_squaredNorm.cpp
3
cout << "Here is the square norm of each row:" << endl << m.
rowwise
().squaredNorm() << endl;
PartialRedux_sum.cpp
3
cout << "Here is the sum of each row:" << endl << m.
rowwise
().sum() << endl;
MatrixBase_rowwise.cpp
3
cout << "Here is the sum of each row:" << endl << m.
rowwise
().sum() << endl;
5
<< endl << m.cwiseAbs().
rowwise
().maxCoeff() << endl;
Vectorwise_reverse.cpp
3
cout << "Here is the
rowwise
reverse of m:" << endl << m.
rowwise
().reverse() << endl;
7
<< m.
rowwise
().reverse()(1,0) << endl;
DirectionWise_replicate_int.cpp
3
cout << "v.
rowwise
().replicate(5) = ..." << endl;
4
cout << v.
rowwise
().replicate(5) << endl;
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;
/external/eigen/doc/examples/
Tutorial_ReductionsVisitorsBroadcasting_rowwise.cpp
12
<< mat.
rowwise
().maxCoeff() << std::endl;
Tutorial_ReductionsVisitorsBroadcasting_broadcast_simple_rowwise.cpp
16
mat.
rowwise
() += v.transpose();
/external/eigen/test/
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
() * rowvec)
[
all
...]
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);
stable_norm.cpp
101
VERIFY_IS_APPROX(vrand.
rowwise
().stableNorm(), vrand.
rowwise
().norm());
102
VERIFY_IS_APPROX(vrand.
rowwise
().blueNorm(), vrand.
rowwise
().norm());
103
VERIFY_IS_APPROX(vrand.
rowwise
().hypotNorm(), vrand.
rowwise
().norm());
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
for arra
[
all
...]
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));
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);
array_replicate.cpp
51
VERIFY_IS_APPROX(x2, v1.
rowwise
().replicate(f1));
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;
householder.cpp
69
m3.
rowwise
() = v1.transpose();
/external/eigen/Eigen/src/Geometry/
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;
/external/eigen/unsupported/Eigen/src/MatrixFunctions/
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();
/external/eigen/doc/
tutorial.cpp
46
std::cout << "m4.
rowwise
().sum():\n" << m4.
rowwise
().sum() << std::endl;
/external/eigen/test/eigen2/
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));
/external/ceres-solver/examples/
ellipse_approximation.cc
407
(X.
rowwise
() - kY.row(i)).
rowwise
().squaredNorm().minCoeff(&t[i]);
/external/eigen/unsupported/Eigen/src/AutoDiff/
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()); }
/external/eigen/Eigen/src/Core/
DenseBase.h
440
ConstRowwiseReturnType
rowwise
() const;
441
RowwiseReturnType
rowwise
();
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