Searched refs:cout (Results 76 - 100 of 596) sorted by relevance
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/external/eigen/doc/snippets/ |
H A D | MatrixBase_adjoint.cpp | 2 cout << "Here is the 2x2 complex matrix m:" << endl << m << endl; 3 cout << "Here is the adjoint of m:" << endl << m.adjoint() << endl;
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H A D | MatrixBase_cwiseAbs.cpp | 4 cout << m.cwiseAbs() << endl;
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H A D | MatrixBase_cwiseAbs2.cpp | 4 cout << m.cwiseAbs2() << endl;
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H A D | MatrixBase_cwiseInverse.cpp | 4 cout << m.cwiseInverse() << endl;
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H A D | MatrixBase_cwiseSqrt.cpp | 2 cout << v.cwiseSqrt() << endl;
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H A D | MatrixBase_diagonal.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl; 3 cout << "Here are the coefficients on the main diagonal of m:" << endl
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H A D | MatrixBase_inverse.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl; 3 cout << "Its inverse is:" << endl << m.inverse() << endl;
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H A D | MatrixBase_prod.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl; 3 cout << "Here is the product of all the coefficients:" << endl << m.prod() << endl;
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H A D | PartialRedux_maxCoeff.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl; 3 cout << "Here is the maximum of each column:" << endl << m.colwise().maxCoeff() << endl;
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H A D | PartialRedux_minCoeff.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl; 3 cout << "Here is the minimum of each column:" << endl << m.colwise().minCoeff() << endl;
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H A D | PartialRedux_norm.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl; 3 cout << "Here is the norm of each column:" << endl << m.colwise().norm() << endl;
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H A D | PartialRedux_prod.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl; 3 cout << "Here is the product of each row:" << endl << m.rowwise().prod() << endl;
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H A D | PartialRedux_squaredNorm.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl; 3 cout << "Here is the square norm of each row:" << endl << m.rowwise().squaredNorm() << endl;
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H A D | PartialRedux_sum.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl; 3 cout << "Here is the sum of each row:" << endl << m.rowwise().sum() << endl;
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H A D | TopicAliasing_block.cpp | 3 cout << "Here is the matrix mat:\n" << mat << endl; 7 cout << "After the assignment, mat = \n" << mat << endl;
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H A D | TopicAliasing_block_correct.cpp | 3 cout << "Here is the matrix mat:\n" << mat << endl; 7 cout << "After the assignment, mat = \n" << mat << endl;
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H A D | tut_arithmetic_transpose_aliasing.cpp | 2 cout << "Here is the matrix a:\n" << a << endl; 5 cout << "and the result of the aliasing effect:\n" << a << endl
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H A D | tut_arithmetic_transpose_inplace.cpp | 2 cout << "Here is the initial matrix a:\n" << a << endl; 6 cout << "and after being transposed:\n" << a << endl
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H A D | HouseholderSequence_HouseholderSequence.cpp | 2 cout << "The matrix v is:" << endl; 3 cout << v << endl; 6 cout << "The first Householder vector is: v_0 = " << v0.transpose() << endl; 8 cout << "The second Householder vector is: v_1 = " << v1.transpose() << endl; 10 cout << "The third Householder vector is: v_2 = " << v2.transpose() << endl; 13 cout << "The Householder coefficients are: h = " << h.transpose() << endl; 16 cout << "The first Householder reflection is represented by H_0 = " << endl; 17 cout << H0 << endl; 19 cout << "The second Householder reflection is represented by H_1 = " << endl; 20 cout << H [all...] |
/external/chromium_org/tools/gyp/test/library_dirs/subdir/ |
H A D | hello.cc | 9 std::cout << "Hello " << my_foo(99) << std::endl;
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/external/chromium_org/tools/gyp/test/mac/libraries/subdir/ |
H A D | hello.cc | 8 std::cout << "Hello, world!" << std::endl;
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/external/eigen/bench/spbench/ |
H A D | spbenchsolver.cpp | 5 cout<< " \nbenchsolver : performs a benchmark of all the solvers available in Eigen \n\n"; 6 cout<< " MATRIX FOLDER : \n"; 7 cout<< " The matrices for the benchmark should be collected in a folder specified with an environment variable EIGEN_MATRIXDIR \n"; 8 cout<< " The matrices are stored using the matrix market coordinate format \n"; 9 cout<< " The matrix and associated right-hand side (rhs) files are named respectively \n"; 10 cout<< " as MatrixName.mtx and MatrixName_b.mtx. If the rhs does not exist, a random one is generated. \n"; 11 cout<< " If a matrix is SPD, the matrix should be named as MatrixName_SPD.mtx \n"; 12 cout<< " If a true solution exists, it should be named as MatrixName_x.mtx; \n" ; 13 cout<< " it will be used to compute the norm of the error relative to the computed solutions\n\n"; 14 cout<< " OPTION [all...] |
/external/eigen/doc/examples/ |
H A D | TutorialLinAlgRankRevealing.cpp | 13 cout << "Here is the matrix A:\n" << A << endl; 15 cout << "The rank of A is " << lu_decomp.rank() << endl; 16 cout << "Here is a matrix whose columns form a basis of the null-space of A:\n" 18 cout << "Here is a matrix whose columns form a basis of the column-space of A:\n"
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H A D | Tutorial_BlockOperations_colrow.cpp | 12 cout << "Here is the matrix m:" << endl << m << endl; 13 cout << "2nd Row: " << m.row(1) << endl; 15 cout << "After adding 3 times the first column into the third column, the matrix m is:\n"; 16 cout << m << endl;
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H A D | Tutorial_BlockOperations_print_block.cpp | 13 cout << "Block in the middle" << endl; 14 cout << m.block<2,2>(1,1) << endl << endl; 17 cout << "Block of size " << i << "x" << i << endl; 18 cout << m.block(0,0,i,i) << endl << endl;
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