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  /external/eigen/doc/snippets/
class_FullPivLU.cpp 7 << endl << lu.matrixLU() << endl;
10 l.block<5,3>(0,0).triangularView<StrictlyLower>() = lu.matrixLU();
13 Matrix5x3 u = lu.matrixLU().triangularView<Upper>();
  /external/eigen/doc/examples/
TutorialInplaceLU.cpp 25 cout << "[matrixLU]" << endl;
26 cout << "Here is the matrix storing the L and U factors:\n" << lu.matrixLU() << endl;
27 cout << "[matrixLU]" << endl;
  /external/eigen/Eigen/src/LU/
FullPivLU.h 48 * The data of the LU decomposition can be directly accessed through the methods matrixLU(),
131 inline const MatrixType& matrixLU() const
632 const Index cols = dec().matrixLU().cols(), dimker = cols - rank();
662 if(abs(dec().matrixLU().coeff(i,i)) > premultiplied_threshold)
672 m(dec().matrixLU().block(0, 0, rank(), cols));
676 m.row(i).tail(cols-i) = dec().matrixLU().row(pivots.coeff(i)).tail(cols-i);
731 if(abs(dec().matrixLU().coeff(i,i)) > premultiplied_threshold)
    [all...]
PartialPivLU.h 69 * The data of the LU decomposition can be directly accessed through the methods matrixLU(), permutationP().
141 inline const MatrixType& matrixLU() const
  /external/eigen/test/
lu.cpp 74 u = lu.matrixLU().template triangularView<Upper>();
77 = lu.matrixLU().block(0,0,rows,(std::min)(rows,cols));
225 VERIFY_RAISES_ASSERT(lu.matrixLU())
240 VERIFY_RAISES_ASSERT(plu.matrixLU())
  /external/eigen/bench/btl/libs/eigen2/
eigen2_interface.hh 152 C = X.lu().matrixLU();
  /external/tensorflow/tensorflow/core/kernels/
lu_op.cc 158 packed_triangular_factors = lu_decomposition.matrixLU();
matrix_inverse_op.cc 74 lu_decomposition.matrixLU().diagonal().cwiseAbs().minCoeff();
matrix_solve_op.cc 100 lu_decomposition.matrixLU().diagonal().cwiseAbs().minCoeff();
determinant_op.cc 62 Eigen::Matrix<Scalar, Dynamic, Dynamic> LU = lu.matrixLU();
  /external/eigen/bench/btl/libs/eigen3/
eigen3_interface.hh 215 C = X.fullPivLu().matrixLU();
223 // C = X.partialPivLu().matrixLU();

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