| /external/apache-commons-math/src/main/java/org/apache/commons/math/linear/ |
| D | SingularValueDecompositionImpl.java | 50 private double[] singularValues; field in SingularValueDecompositionImpl
121 singularValues = eigenDecomposition.getRealEigenvalues(); in SingularValueDecompositionImpl()
132 singularValues = eigenDecomposition.getRealEigenvalues(); in SingularValueDecompositionImpl()
141 singularValues[i] = FastMath.sqrt(FastMath.abs(singularValues[i])); in SingularValueDecompositionImpl()
181 cachedS = MatrixUtils.createRealDiagonalMatrix(singularValues); in getS()
189 return singularValues.clone(); in getSingularValues()
215 final int p = singularValues.length; in getCovariance()
217 while ((dimension < p) && (singularValues[dimension] >= minSingularValue)) { in getCovariance()
224 minSingularValue, singularValues[0]); in getCovariance()
233 data[row][column] = value / singularValues[row]; in getCovariance()
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| /external/eigen/unsupported/test/ |
| D | svd_common.h | 43 sigma.diagonal() = svd.singularValues().template cast<Scalar>(); in svd_check_full()
66 VERIFY_IS_APPROX(svd.singularValues(), referenceSvd.singularValues()); in svd_compare_to_full()
135 …VERIFY_IS_APPROX(m, svd.matrixU().leftCols(diagSize) * svd.singularValues().asDiagonal() * svd.mat… in svd_test_computation_options_2()
156 VERIFY_RAISES_ASSERT(svd.singularValues()) in svd_verify_assert()
164 svd.singularValues(); in svd_verify_assert()
230 VERIFY_IS_APPROX(svd.singularValues(), v); in svd_preallocate()
236 VERIFY_IS_APPROX(svd2.singularValues(), v); in svd_preallocate()
250 VERIFY_IS_APPROX(svd2.singularValues(), v); in svd_preallocate()
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| D | bdcsvd.cpp | 91 VERIFY_IS_APPROX(bdc_svd.singularValues(), jacobi_svd.singularValues()); in compare_bdc_jacobi()
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| D | jacobisvd.cpp | 98 VERIFY_IS_APPROX(m.jacobiSvd().singularValues(), RealVecType::Ones()); in jacobisvd_method()
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| /external/eigen/test/ |
| D | jacobisvd.cpp | 34 sigma.diagonal() = svd.singularValues().template cast<Scalar>(); in jacobisvd_check_full()
55 VERIFY_IS_APPROX(svd.singularValues(), referenceSvd.singularValues()); in jacobisvd_compare_to_full()
159 std::cout << svd3.singularValues().transpose() << "\n"; in jacobisvd_solve()
206 …VERIFY_IS_APPROX(m, svd.matrixU().leftCols(diagSize) * svd.singularValues().asDiagonal() * svd.mat… in jacobisvd_test_all_computation_options()
256 VERIFY_RAISES_ASSERT(svd.singularValues()) in jacobisvd_verify_assert()
265 svd.singularValues(); in jacobisvd_verify_assert()
299 VERIFY_IS_APPROX(m.jacobiSvd().singularValues(), RealVecType::Ones()); in jacobisvd_method()
373 VERIFY_IS_APPROX(svd.singularValues(), v); in jacobisvd_preallocate()
379 VERIFY_IS_APPROX(svd2.singularValues(), v); in jacobisvd_preallocate()
393 VERIFY_IS_APPROX(svd2.singularValues(), v); in jacobisvd_preallocate()
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| D | geo_transformations.cpp | 367 } while(t0.linear().jacobiSvd().singularValues()(2)<test_precision<Scalar>()); in transformations()
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| /external/eigen/Eigen/src/Geometry/ |
| D | Umeyama.h | 142 const VectorType& d = svd.singularValues();
159 const Scalar c = Scalar(1)/src_var * svd.singularValues().dot(S);
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| D | Transform.h | 1021 VectorType sv(svd.singularValues()); in computeRotationScaling()
1050 VectorType sv(svd.singularValues()); in computeScalingRotation()
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| /external/eigen/doc/snippets/ |
| D | JacobiSVD_basic.cpp | 4 cout << "Its singular values are:" << endl << svd.singularValues() << endl;
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| /external/eigen/doc/examples/ |
| D | function_taking_ref.cpp | 8 const VectorXf sing_vals = a.jacobiSvd().singularValues(); in inv_cond()
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| /external/eigen/test/eigen2/ |
| D | eigen2_svd.cpp | 36 sigma.block(0,0,cols,cols) = svd.singularValues().asDiagonal(); in svd()
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| /external/eigen/unsupported/Eigen/src/SVD/ |
| D | SVDBase.h | 138 const SingularValuesType& singularValues() const in singularValues() function
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| D | BDCSVD.h | 392 m_computed(firstCol + shift + i, firstCol + shift +i) = b.singularValues().coeffRef(i); in divide()
494 m_computed(firstCol + shift + i, firstCol + shift +i) = res.singularValues().coeffRef(i); in divide()
717 …invertedSingVals.head(nonzeroSingVals) = dec().singularValues().head(nonzeroSingVals).array().inve…
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| D | JacobiSVD.h | 755 …invertedSingVals.head(nonzeroSingVals) = dec().singularValues().head(nonzeroSingVals).array().inve…
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| /external/eigen/Eigen/src/Eigen2Support/Geometry/ |
| D | Transform.h | 623 Matrix<Scalar, Dim, 1> sv(svd.singularValues());
654 Matrix<Scalar, Dim, 1> sv(svd.singularValues());
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| /external/eigen/Eigen/src/SVD/ |
| D | JacobiSVD.h | 641 const SingularValuesType& singularValues() const
954 tmp = dec().singularValues().head(rank).asDiagonal().inverse() * tmp;
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| /external/ceres-solver/internal/ceres/ |
| D | covariance_impl.cc | 593 const Vector singular_values = svd.singularValues(); in ComputeCovarianceValuesUsingDenseSVD()
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| /external/eigen/doc/ |
| D | AsciiQuickReference.txt | 199 // .svd() -> .matrixU(), .singularValues(), and .matrixV()
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| D | FunctionsTakingEigenTypes.dox | 57 sing_vals = a.jacobiSvd().singularValues();
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| /external/eigen/Eigen/src/Eigen2Support/ |
| D | SVD.h | 65 const SingularValuesType& singularValues() const { return m_sigma; } in singularValues() function
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