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  /external/eigen/doc/examples/
QuickStart_example2_dynamic.cpp 11 cout << "m =" << endl << m << endl;
14 cout << "m * v =" << endl << m * v << endl;
QuickStart_example2_fixed.cpp 11 cout << "m =" << endl << m << endl;
14 cout << "m * v =" << endl << m * v << endl;
tut_arithmetic_add_sub.cpp 14 std::cout << "a + b =\n" << a + b << std::endl;
15 std::cout << "a - b =\n" << a - b << std::endl;
16 std::cout << "Doing a += b;" << std::endl;
18 std::cout << "Now a =\n" << a << std::endl;
21 std::cout << "-v + w - v =\n" << -v + w - v << std::endl;
Tutorial_BlockOperations_block_assignment.cpp 13 cout << "Here is the array a:" << endl << a << endl << endl;
15 cout << "Here is now a with m copied into its central 2x2 block:" << endl << a << endl << endl;
17 cout << "Here is now a with bottom-right 2x3 block copied into top-left 2x2 block:" << endl << a << endl << endl;
  /external/eigen/doc/snippets/
ComplexSchur_compute.cpp 4 cout << "The matrix T in the decomposition of A is:" << endl << schur.matrixT() << endl;
6 cout << "The matrix T in the decomposition of A^(-1) is:" << endl << schur.matrixT() << endl;
ComplexSchur_matrixT.cpp 2 cout << "Here is a random 4x4 matrix, A:" << endl << A << endl << endl;
4 cout << "The triangular matrix T is:" << endl << schurOfA.matrixT() << endl;
Jacobi_makeGivens.cpp 4 cout << "Here is the vector v:" << endl << v << endl;
6 cout << "Here is the vector J' * v:" << endl << v << endl
Jacobi_makeJacobi.cpp 5 cout << "Here is the matrix m:" << endl << m << endl;
8 cout << "Here is the matrix J' * m * J:" << endl << m << endl
Map_placement_new.cpp 3 cout << "The mapped vector v is: " << v << "\n";
5 cout << "Now v is: " << v << "\n"
MatrixBase_diagonal_int.cpp 2 cout << "Here is the matrix m:" << endl << m << endl;
3 cout << "Here are the coefficients on the 1st super-diagonal and 2nd sub-diagonal of m:" << endl
MatrixBase_diagonal_template_int.cpp 2 cout << "Here is the matrix m:" << endl << m << endl;
3 cout << "Here are the coefficients on the 1st super-diagonal and 2nd sub-diagonal of m:" << endl
Matrix_resize_int.cpp 5 cout << "v: " << v.rows() << " rows, " << v.cols() << " cols" << endl;
6 cout << "w: " << w.rows() << " rows, " << w.cols() << " cols" << endl;
PartialRedux_count.cpp 2 cout << "Here is the matrix m:" << endl << m << endl;
3 cout << "Here is the count of elements larger or equal than 0.5 of each row:" << endl << (m.array() >= 0.5).rowwise().count() << endl;
RealSchur_compute.cpp 4 cout << "The matrix T in the decomposition of A is:" << endl << schur.matrixT() << endl;
6 cout << "The matrix T in the decomposition of A^(-1) is:" << endl << schur.matrixT() << endl;
TopicAliasing_block.cpp 3 cout << "Here is the matrix mat:\n" << mat << endl;
7 cout << "After the assignment, mat = \n" << mat << endl;
TopicAliasing_block_correct.cpp 3 cout << "Here is the matrix mat:\n" << mat << endl;
7 cout << "After the assignment, mat = \n" << mat << endl;
Tridiagonalization_householderCoefficients.cpp 3 cout << "Here is a random symmetric 4x4 matrix:" << endl << A << endl;
6 cout << "The vector of Householder coefficients is:" << endl << hc << endl;
Tutorial_AdvancedInitialization_CommaTemporary.cpp 2 std::cout << mat << std::endl << std::endl;
4 std::cout << mat << std::endl;
tut_matrix_assignment_resizing.cpp 2 std::cout << "a is of size " << a.rows() << "x" << a.cols() << std::endl;
5 std::cout << "a is now of size " << a.rows() << "x" << a.cols() << std::endl;
IOFormat.cpp 10 std::cout << m1 << sep;
11 std::cout << m1.format(CommaInitFmt) << sep;
12 std::cout << m1.format(CleanFmt) << sep;
13 std::cout << m1.format(OctaveFmt) << sep;
14 std::cout << m1.format(HeavyFmt) << sep;
MatrixBase_marked.cpp 7 cout << "Here is the matrix m:" << endl << m << endl;
10 cout << "Here is the matrix n:" << endl << n << endl;
11 cout << "And now here is m.inverse()*n, taking advantage of the fact that"
  /external/eigen/bench/
check_cache_queries.cpp 13 std::cout << "The code " << CODE << " gives " \
20 cout << "Eigen's L1 = " << internal::queryL1CacheSize() << endl;
21 cout << "Eigen's L2/L3 = " << internal::queryTopLevelCacheSize() << endl;
24 cout << "Eigen's L1, L2, L3 = " << l1 << " " << l2 << " " << l3 << endl;
38 cout << endl;
39 cout << "vendor id = " << string_char << endl;
40 cout << endl;
44 cout << "Eigen's intel codes L1, L2, L3 = " << l1 << " " << l2 << " " << l3 << endl;
48 cout << "Eigen's intel direct L1, L2, L3 = " << l1 << " " << l2 << " " << l3 << endl;
51 cout << "Eigen's amd L1, L2, L3 = " << l1 << " " << l2 << " " << l3 << endl
    [all...]
  /ndk/tests/device/issue39680-chrono-resolution/jni/
issue39680-chrono-resolution.cpp 21 cout << "- precision: ";
27 cout << fixed << double(TT::num)/TT::den
33 cout << fixed << double(P::num)/P::den << " seconds" << endl;
36 cout << "- is_steady: " << boolalpha << C::is_steady << endl;
43 std::cout << "system_clock: " << std::endl;
45 std::cout << "\nhigh_resolution_clock: " << std::endl;
47 std::cout << "\nsteady_clock: " << std::endl;
  /external/eigen/unsupported/doc/examples/
MatrixSquareRoot.cpp 13 std::cout << "The matrix A is:\n" << A << "\n\n";
14 std::cout << "The matrix square root of A is:\n" << A.sqrt() << "\n\n";
15 std::cout << "The square of the last matrix is:\n" << A.sqrt() * A.sqrt() << "\n";
  /external/eigen/bench/spbench/
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<< " This folder should contain the subfolders real/ and complex/ : \n";
9 cout<< " The matrices are stored using the matrix market coordinate format \n";
10 cout<< " The matrix and associated right-hand side (rhs) files are named respectively \n";
11 cout<< " as MatrixName.mtx and MatrixName_b.mtx. If the rhs does not exist, a random one is generated. \n";
12 cout<< " If a matrix is SPD, the matrix should be named as MatrixName_SPD.mtx \n";
13 cout<< " If a true solution exists, it should be named as MatrixName_x.mtx; \n" ;
14 cout<< " it will be used to compute the norm of the error relative to the computed solutions\n\n"
    [all...]

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