| /external/eigen/demos/opengl/ |
| quaternion_demo.cpp | 168 m_angles.coeffRef(1) = std::asin(m.coeff(0,2));
169 m_angles.coeffRef(0) = std::atan2(-m.coeff(1,2),m.coeff(2,2));
170 m_angles.coeffRef(2) = std::atan2(-m.coeff(0,1),m.coeff(0,0));
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| /external/eigen/Eigen/src/SVD/ |
| JacobiSVD.h | [all...] |
| /external/eigen/doc/ |
| C09_TutorialSparse.dox | 170 Random access to the elements of a sparse object can be done through the \c coeffRef(i,j) function.
234 4: mat.insert(i,j) = v_ij; // alternative: mat.coeffRef(i,j) += v_ij;
240 - When calling insert(i,j) the element \c i \c ,j must not already exists, otherwise use the coeffRef(i,j) method that will allow to, e.g., accumulate values. This method first performs a binary search and finally calls insert(i,j) if the element does not already exist. It is more flexible than insert() but also more costly.
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| I03_InsideEigenExample.dox | 163 This means that we can put almost all the methods and operators in the base class MatrixBase, and have only the bare minimum in the subclasses. If you look at the subclasses in Eigen, like for instance the CwiseBinaryOp class, they have very few methods. There are coeff() and sometimes coeffRef() methods for access to the coefficients, there are rows() and cols() methods returning the number of rows and columns, but there isn't much more than that. All the meat is in MatrixBase, so it only needs to be coded once for all kinds of expressions, matrices, and vectors.
346 : internal::first_aligned(&dst.coeffRef(0), size);
494 However, it works just like the one we just explained, it is just simpler because there is no SSE vectorization involved here. copyPacket() becomes copyCoeff(), packet() becomes coeff(), writePacket() becomes coeffRef(). If you followed us this far, you can probably understand this part by yourself.
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| QuickReference.dox | 185 vector.coeffRef(i)
188 matrix.coeffRef(i,j)
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| /external/eigen/Eigen/src/Core/ |
| Array.h | 63 using Base::coeffRef;
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| Assign.h | 403 : internal::first_aligned(&dst.coeffRef(0), size);
454 : internal::first_aligned(&dst.coeffRef(0,0), innerSize);
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| GeneralProduct.h | 211 Base::coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
530 dest.coeffRef(i) += alpha * (prod.lhs().row(i).cwiseProduct(prod.rhs().transpose())).sum();
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| Matrix.h | 144 using Base::coeffRef;
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| DenseBase.h | 71 using Base::coeffRef;
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| MatrixBase.h | 77 using Base::coeffRef;
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| CwiseNullaryOp.h | 757 for(Index i = 0; i < size; ++i) m.coeffRef(i,i) = typename Derived::Scalar(1);
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| /external/eigen/Eigen/src/Core/products/ |
| SelfadjointMatrixVector.h | 233 &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
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| /external/eigen/unsupported/Eigen/src/MatrixFunctions/ |
| MatrixFunction.h | 343 std::swap(p.coeffRef(k), p.coeffRef(k+1));
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| /external/eigen/Eigen/src/SparseCore/ |
| SparseMatrixBase.h | 423 dst.coeffRef(i.row(),i.col()) = i.value();
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| SparseMatrix.h | 187 inline Scalar& coeffRef(Index row, Index col)
194 eigen_assert(end>=start && "you probably called coeffRef on a non finalized matrix");
[all...] |
| /external/eigen/Eigen/src/Geometry/ |
| Transform.h | 597 matrix().coeffRef(Dim,Dim) = Scalar(1);
[all...] |
| /external/eigen/unsupported/Eigen/src/AutoDiff/ |
| AutoDiffScalar.h | 84 m_derivatives.coeffRef(derNumber) = Scalar(1);
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| /external/eigen/unsupported/Eigen/src/Skyline/ |
| SkylineMatrix.h | 195 inline Scalar& coeffRef(Index row, Index col) {
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| /external/eigen/Eigen/src/Eigenvalues/ |
| SelfAdjointEigenSolver.h | 397 m_eivalues.coeffRef(0,0) = internal::real(matrix.coeff(0,0));
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