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Searched
refs:singularValues
(Results
1 - 18
of
18
) sorted by null
/external/apache-commons-math/src/main/java/org/apache/commons/math/linear/
SingularValueDecompositionImpl.java
50
private double[]
singularValues
;
121
singularValues
= eigenDecomposition.getRealEigenvalues();
132
singularValues
= eigenDecomposition.getRealEigenvalues();
141
singularValues
[i] = FastMath.sqrt(FastMath.abs(
singularValues
[i]));
181
cachedS = MatrixUtils.createRealDiagonalMatrix(
singularValues
);
189
return
singularValues
.clone();
215
final int p =
singularValues
.length;
217
while ((dimension < p) && (
singularValues
[dimension] >= minSingularValue)) {
224
minSingularValue,
singularValues
[0])
[
all
...]
/external/eigen/doc/snippets/
JacobiSVD_basic.cpp
4
cout << "Its singular values are:" << endl << svd.
singularValues
() << endl;
/external/eigen/doc/examples/
function_taking_ref.cpp
8
const VectorXf sing_vals = a.jacobiSvd().
singularValues
();
/external/eigen/unsupported/test/
svd_common.h
43
sigma.diagonal() = svd.
singularValues
().template cast<Scalar>();
66
VERIFY_IS_APPROX(svd.
singularValues
(), referenceSvd.
singularValues
());
135
VERIFY_IS_APPROX(m, svd.matrixU().leftCols(diagSize) * svd.
singularValues
().asDiagonal() * svd.matrixV().leftCols(diagSize).adjoint());
156
VERIFY_RAISES_ASSERT(svd.
singularValues
())
164
svd.
singularValues
();
230
VERIFY_IS_APPROX(svd.
singularValues
(), v);
236
VERIFY_IS_APPROX(svd2.
singularValues
(), v);
250
VERIFY_IS_APPROX(svd2.
singularValues
(), v);
bdcsvd.cpp
91
VERIFY_IS_APPROX(bdc_svd.
singularValues
(), jacobi_svd.
singularValues
());
jacobisvd.cpp
98
VERIFY_IS_APPROX(m.jacobiSvd().
singularValues
(), RealVecType::Ones());
/external/eigen/test/
jacobisvd.cpp
34
sigma.diagonal() = svd.
singularValues
().template cast<Scalar>();
55
VERIFY_IS_APPROX(svd.
singularValues
(), referenceSvd.
singularValues
());
159
std::cout << svd3.
singularValues
().transpose() << "\n";
206
VERIFY_IS_APPROX(m, svd.matrixU().leftCols(diagSize) * svd.
singularValues
().asDiagonal() * svd.matrixV().leftCols(diagSize).adjoint());
256
VERIFY_RAISES_ASSERT(svd.
singularValues
())
265
svd.
singularValues
();
299
VERIFY_IS_APPROX(m.jacobiSvd().
singularValues
(), RealVecType::Ones());
373
VERIFY_IS_APPROX(svd.
singularValues
(), v);
379
VERIFY_IS_APPROX(svd2.
singularValues
(), v)
[
all
...]
geo_transformations.cpp
367
} while(t0.linear().jacobiSvd().
singularValues
()(2)<test_precision<Scalar>());
/external/eigen/Eigen/src/Geometry/
Umeyama.h
142
const VectorType& d = svd.
singularValues
();
159
const Scalar c = Scalar(1)/src_var * svd.
singularValues
().dot(S);
Transform.h
[
all
...]
/external/eigen/test/eigen2/
eigen2_svd.cpp
36
sigma.block(0,0,cols,cols) = svd.
singularValues
().asDiagonal();
/external/eigen/unsupported/Eigen/src/SVD/
SVDBase.h
138
const SingularValuesType&
singularValues
() const
BDCSVD.h
392
m_computed(firstCol + shift + i, firstCol + shift +i) = b.
singularValues
().coeffRef(i);
494
m_computed(firstCol + shift + i, firstCol + shift +i) = res.
singularValues
().coeffRef(i);
717
invertedSingVals.head(nonzeroSingVals) = dec().
singularValues
().head(nonzeroSingVals).array().inverse();
JacobiSVD.h
755
invertedSingVals.head(nonzeroSingVals) = dec().
singularValues
().head(nonzeroSingVals).array().inverse();
/external/eigen/Eigen/src/Eigen2Support/Geometry/
Transform.h
623
Matrix<Scalar, Dim, 1> sv(svd.
singularValues
());
654
Matrix<Scalar, Dim, 1> sv(svd.
singularValues
());
/external/eigen/Eigen/src/SVD/
JacobiSVD.h
641
const SingularValuesType&
singularValues
() const
[
all
...]
/external/ceres-solver/internal/ceres/
covariance_impl.cc
593
const Vector singular_values = svd.
singularValues
();
/external/eigen/Eigen/src/Eigen2Support/
SVD.h
65
const SingularValuesType&
singularValues
() const { return m_sigma; }
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