/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/examples/ |
function_taking_ref.cpp | 8 const VectorXf sing_vals = a.jacobiSvd().singularValues();
|
/external/eigen/doc/snippets/ |
JacobiSVD_basic.cpp | 4 cout << "Its singular values are:" << endl << svd.singularValues() << endl;
|
/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/test/eigen2/ |
eigen2_svd.cpp | 36 sigma.block(0,0,cols,cols) = svd.singularValues().asDiagonal();
|
/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/unsupported/Eigen/src/SVD/ |
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();
|
SVDBase.h | 138 const SingularValuesType& singularValues() const
|
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/doc/ |
AsciiQuickReference.txt | 199 // .svd() -> .matrixU(), .singularValues(), and .matrixV()
|
FunctionsTakingEigenTypes.dox | 57 sing_vals = a.jacobiSvd().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; }
|