HomeSort by relevance Sort by last modified time
    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; }

Completed in 449 milliseconds