Searched refs:matrixV (Results 1 – 10 of 10) sorted by relevance
| /external/eigen/test/ |
| D | jacobisvd.cpp | 39 MatrixVType v = svd.matrixV(); in jacobisvd_check_full()
64 VERIFY_IS_APPROX(svd.matrixV(), referenceSvd.matrixV()); in jacobisvd_compare_to_full()
66 VERIFY_IS_APPROX(svd.matrixV(), referenceSvd.matrixV().leftCols(diagSize)); in jacobisvd_compare_to_full()
124 …d.matrixU().leftCols(diagSize) * svd.singularValues().asDiagonal() * svd.matrixV().leftCols(diagSi… in jacobisvd_test_all_computation_options()
158 VERIFY_RAISES_ASSERT(svd.matrixV()) in jacobisvd_verify_assert()
165 VERIFY_RAISES_ASSERT(svd.matrixV()) in jacobisvd_verify_assert()
173 VERIFY_RAISES_ASSERT(svd.matrixV()) in jacobisvd_verify_assert()
177 svd.matrixV(); in jacobisvd_verify_assert()
202 VERIFY_RAISES_ASSERT(m.jacobiSvd().matrixV()); in jacobisvd_method()
275 VERIFY_RAISES_ASSERT(svd2.matrixV()); in jacobisvd_preallocate()
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| /external/eigen/Eigen/src/Geometry/ |
| D | Umeyama.h | 145 if ( svd.matrixU().determinant() * svd.matrixV().determinant() > 0 ) {
146 Rt.block(0,0,m,m).noalias() = svd.matrixU()*svd.matrixV().transpose();
149 Rt.block(0,0,m,m).noalias() = svd.matrixU() * S.asDiagonal() * svd.matrixV().transpose();
153 Rt.block(0,0,m,m).noalias() = svd.matrixU() * S.asDiagonal() * svd.matrixV().transpose();
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| D | Transform.h | 1023 Scalar x = (svd.matrixU() * svd.matrixV().adjoint()).determinant(); // so x has absolute value 1 in computeRotationScaling()
1026 if(scaling) scaling->lazyAssign(svd.matrixV() * sv.asDiagonal() * svd.matrixV().adjoint()); in computeRotationScaling()
1031 rotation->lazyAssign(m * svd.matrixV().adjoint()); in computeRotationScaling()
1052 Scalar x = (svd.matrixU() * svd.matrixV().adjoint()).determinant(); // so x has absolute value 1 in computeScalingRotation()
1060 rotation->lazyAssign(m * svd.matrixV().adjoint()); in computeScalingRotation()
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| D | Quaternion.h | 601 Vector3 axis = svd.matrixV().col(2);
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| /external/eigen/doc/snippets/ |
| D | JacobiSVD_basic.cpp | 6 cout << "Its right singular vectors are the columns of the thin V matrix:" << endl << svd.matrixV()…
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| /external/eigen/Eigen/src/Eigen2Support/Geometry/ |
| D | Transform.h | 622 Scalar x = (svd.matrixU() * svd.matrixV().adjoint()).determinant(); // so x has absolute value 1
627 scaling->noalias() = svd.matrixV() * sv.asDiagonal() * svd.matrixV().adjoint();
633 rotation->noalias() = m * svd.matrixV().adjoint();
653 Scalar x = (svd.matrixU() * svd.matrixV().adjoint()).determinant(); // so x has absolute value 1
664 rotation->noalias() = m * svd.matrixV().adjoint();
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| /external/eigen/test/eigen2/ |
| D | eigen2_svd.cpp | 38 VERIFY_IS_APPROX(a, matU * sigma * svd.matrixV().transpose()); in svd()
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| /external/eigen/Eigen/src/SVD/ |
| D | JacobiSVD.h | 604 const MatrixVType& matrixV() const
843 dst = dec().matrixV().leftCols(diagSize)
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| /external/eigen/doc/ |
| D | AsciiQuickReference.txt | 163 // .svd() -> .matrixU(), .singularValues(), and .matrixV()
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| /external/eigen/Eigen/src/Eigen2Support/ |
| D | SVD.h | 66 const MatrixVType& matrixV() const { return m_matV; } in matrixV() function
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