| /external/eigen/doc/snippets/ |
| EigenSolver_eigenvectors.cpp | 4 << endl << es.eigenvectors().col(1) << endl;
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| MatrixBase_eigenvalues.cpp | 3 cout << "The eigenvalues of the 3x3 matrix of ones are:" << endl << eivals << endl; variable
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| SelfAdjointEigenSolver_eigenvalues.cpp | 4 << endl << es.eigenvalues() << endl;
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| SelfAdjointEigenSolver_eigenvectors.cpp | 4 << endl << es.eigenvectors().col(1) << endl;
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| SelfAdjointView_eigenvalues.cpp | 3 cout << "The eigenvalues of the 3x3 matrix of ones are:" << endl << eivals << endl; variable
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| TopicAliasing_mult2.cpp | 6 cout << matB << endl << endl; variable
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| Tutorial_solve_matrix_inverse.cpp | 6 cout << "The solution is:" << endl << x << endl; variable
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| Tutorial_solve_triangular_inplace.cpp | 6 cout << "The solution is:" << endl << b << endl; variable
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| tut_arithmetic_transpose_aliasing.cpp | 2 cout << "Here is the matrix a:\n" << a << endl; variable
5 cout << "and the result of the aliasing effect:\n" << a << endl variable
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| tut_arithmetic_transpose_inplace.cpp | 2 cout << "Here is the initial matrix a:\n" << a << endl; variable
6 cout << "and after being transposed:\n" << a << endl variable
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| Cwise_boolean_and.cpp | 2 cout << ((v<w) && (v<0)) << endl;
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| Cwise_boolean_or.cpp | 2 cout << ((v<w) || (v<0)) << endl;
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| HessenbergDecomposition_compute.cpp | 4 cout << "The matrix H in the decomposition of A is:" << endl << hd.matrixH() << endl;
6 cout << "The matrix H in the decomposition of 2A is:" << endl << hd.matrixH() << endl;
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| MatrixBase_array.cpp | 4 cout << v << endl; variable
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| MatrixBase_col.cpp | 3 cout << m << endl; variable
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| MatrixBase_cwiseAbs.cpp | 4 cout << m.cwiseAbs() << endl;
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| MatrixBase_cwiseAbs2.cpp | 4 cout << m.cwiseAbs2() << endl;
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| MatrixBase_row.cpp | 3 cout << m << endl; variable
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| MatrixBase_setIdentity.cpp | 3 cout << m << endl; variable
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| SelfAdjointEigenSolver_compute_MatrixType2.cpp | 7 cout << "The eigenvalues of the pencil (A,B) are:" << endl << es.eigenvalues() << endl;
9 cout << "The eigenvalues of the pencil (B,A) are:" << endl << es.eigenvalues() << endl;
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| Tridiagonalization_compute.cpp | 5 cout << "The matrix T in the tridiagonal decomposition of A is: " << endl; variable
6 cout << tri.matrixT() << endl;
8 cout << "The matrix T in the tridiagonal decomposition of 2A is: " << endl; variable
9 cout << tri.matrixT() << endl;
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| Tutorial_solve_multiple_rhs.cpp | 7 cout << "The solution with right-hand side (3,3,4) is:" << endl; variable
8 cout << X.col(0) << endl;
9 cout << "The solution with right-hand side (1,1,1) is:" << endl; variable
10 cout << X.col(1) << endl;
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| Tutorial_solve_reuse_decomposition.cpp | 8 cout << "The solution with right-hand side (3,3,4) is:" << endl; variable
9 cout << x << endl; variable
12 cout << "The solution with right-hand side (1,1,1) is:" << endl; variable
13 cout << x << endl; variable
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| /external/eigen/doc/examples/ |
| Tutorial_BlockOperations_colrow.cpp | 12 cout << "Here is the matrix m:" << endl << m << endl; local
13 cout << "2nd Row: " << m.row(1) << endl;
16 cout << m << endl; local
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| tut_arithmetic_scalar_mul_div.cpp | 12 std::cout << "a * 2.5 =\n" << a * 2.5 << std::endl;
13 std::cout << "0.1 * v =\n" << 0.1 * v << std::endl;
14 std::cout << "Doing v *= 2;" << std::endl; member in class:std
16 std::cout << "Now v =\n" << v << std::endl; member in class:std
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