| /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();
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| /external/eigen/doc/snippets/ |
| JacobiSVD_basic.cpp | 4 cout << "Its singular values are:" << endl << svd.singularValues() << endl;
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| /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);
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| bdcsvd.cpp | 91 VERIFY_IS_APPROX(bdc_svd.singularValues(), jacobi_svd.singularValues());
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| jacobisvd.cpp | 98 VERIFY_IS_APPROX(m.jacobiSvd().singularValues(), RealVecType::Ones());
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| /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>());
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| /external/eigen/test/eigen2/ |
| eigen2_svd.cpp | 36 sigma.block(0,0,cols,cols) = svd.singularValues().asDiagonal();
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| /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);
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| 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();
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| SVDBase.h | 138 const SingularValuesType& singularValues() const
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| JacobiSVD.h | 755 invertedSingVals.head(nonzeroSingVals) = dec().singularValues().head(nonzeroSingVals).array().inverse();
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| /external/eigen/Eigen/src/Eigen2Support/Geometry/ |
| Transform.h | 623 Matrix<Scalar, Dim, 1> sv(svd.singularValues());
654 Matrix<Scalar, Dim, 1> sv(svd.singularValues());
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| /external/eigen/doc/ |
| AsciiQuickReference.txt | 199 // .svd() -> .matrixU(), .singularValues(), and .matrixV()
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| FunctionsTakingEigenTypes.dox | 57 sing_vals = a.jacobiSvd().singularValues();
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| /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();
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| /external/eigen/Eigen/src/Eigen2Support/ |
| SVD.h | 65 const SingularValuesType& singularValues() const { return m_sigma; }
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