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  /external/eigen/doc/snippets/
MatrixBase_array.cpp 4 cout << v << endl;
MatrixBase_col.cpp 3 cout << m << endl;
MatrixBase_row.cpp 3 cout << m << endl;
MatrixBase_setIdentity.cpp 3 cout << m << endl;
MatrixBase_setOnes.cpp 3 cout << m << endl;
MatrixBase_setRandom.cpp 3 cout << m << endl;
MatrixBase_setZero.cpp 3 cout << m << endl;
PartialPivLU_solve.cpp 3 cout << "Here is the invertible matrix A:" << endl << A << endl;
4 cout << "Here is the matrix B:" << endl << B << endl;
6 cout << "Here is the (unique) solution X to the equation AX=B:" << endl << X << endl;
7 cout << "Relative error: " << (A*X-B).norm() / B.norm() << endl;
RealSchur_RealSchur_MatrixType.cpp 2 cout << "Here is a random 6x6 matrix, A:" << endl << A << endl << endl;
5 cout << "The orthogonal matrix U is:" << endl << schur.matrixU() << endl;
6 cout << "The quasi-triangular matrix T is:" << endl << schur.matrixT() << endl << endl;
10 cout << "U * T * U^T = " << endl << U * T * U.transpose() << endl;
SelfAdjointView_operatorNorm.cpp 2 cout << "The operator norm of the 3x3 matrix of ones is "
TopicAliasing_mult3.cpp 4 cout << matA;
Tridiagonalization_decomposeInPlace.cpp 3 cout << "Here is a random symmetric 5x5 matrix:" << endl << A << endl << endl;
8 cout << "The orthogonal matrix Q is:" << endl << A << endl;
9 cout << "The diagonal of the tridiagonal matrix T is:" << endl << diag << endl;
10 cout << "The subdiagonal of the tridiagonal matrix T is:" << endl << subdiag << endl;
tut_arithmetic_redux_minmax.cpp 4 cout << "Here is the matrix m:\n" << m << endl;
5 cout << "Its minimum coefficient (" << minOfM
10 cout << "Here is the vector v: " << v << endl;
11 cout << "Its maximum coefficient (" << maxOfV
  /external/eigen/unsupported/doc/examples/
MatrixSine.cpp 9 std::cout << "A = \n" << A << "\n\n";
12 std::cout << "sin(A) = \n" << sinA << "\n\n";
15 std::cout << "cos(A) = \n" << cosA << "\n\n";
19 std::cout << "sin^2(A) + cos^2(A) = \n" << sinA*sinA + cosA*cosA << "\n\n";
MatrixSinh.cpp 9 std::cout << "A = \n" << A << "\n\n";
12 std::cout << "sinh(A) = \n" << sinhA << "\n\n";
15 std::cout << "cosh(A) = \n" << coshA << "\n\n";
19 std::cout << "cosh^2(A) - sinh^2(A) = \n" << coshA*coshA - sinhA*sinhA << "\n\n";
PolynomialSolver1.cpp 13 cout << "Roots: " << roots.transpose() << endl;
18 cout << "Complex roots: " << psolve.roots().transpose() << endl;
23 cout << "Real roots: " << mapRR.transpose() << endl;
25 cout << endl;
26 cout << "Illustration of the convergence problem with the QR algorithm: " << endl;
27 cout << "---------------------------------------------------------------" << endl;
31 cout << "Hard case polynomial defined by floats: " << hardCase_polynomial.transpose() << endl;
33 cout << "Complex roots: " << psolvef.roots().transpose() << endl;
36 cout << "Norms of the evaluations of the polynomial at the roots: " << evals.transpose() << endl << endl;
38 cout << "Using double's almost always solves the problem for small degrees: " << endl
    [all...]
  /frameworks/base/tools/aapt/tests/
FileFinder_test.cpp 18 using std::cout;
26 cout << "\n\n STARTING FILE FINDER TESTS" << endl;
51 cout << "Checking DirectoryWalker...";
53 cout << "PASSED" << endl;
56 cout << "Running findFiles()...";
59 cout << "PASSED" << endl;
63 cout << "Running size comparison: Size is " << testStorage.size() << ", ";
64 cout << "Expected " << SIZE_EXPECTED << "...";
66 cout << "PASSED" << endl;
68 cout << "FAILED" << endl
    [all...]
  /external/eigen/doc/examples/
TutorialLinAlgExSolveColPivHouseholderQR.cpp 13 cout << "Here is the matrix A:\n" << A << endl;
14 cout << "Here is the vector b:\n" << b << endl;
16 cout << "The solution is:\n" << x << endl;
TutorialLinAlgExSolveLDLT.cpp 12 cout << "Here is the matrix A:\n" << A << endl;
13 cout << "Here is the right hand side b:\n" << b << endl;
15 cout << "The solution is:\n" << x << endl;
TutorialLinAlgSVDSolve.cpp 10 cout << "Here is the matrix A:\n" << A << endl;
12 cout << "Here is the right hand side b:\n" << b << endl;
13 cout << "The least-squares solution is:\n"
TutorialLinAlgSelfAdjointEigenSolver.cpp 11 cout << "Here is the matrix A:\n" << A << endl;
14 cout << "The eigenvalues of A are:\n" << eigensolver.eigenvalues() << endl;
15 cout << "Here's a matrix whose columns are eigenvectors of A \n"
Tutorial_BlockOperations_corner.cpp 13 cout << "m.leftCols(2) =" << endl << m.leftCols(2) << endl << endl;
14 cout << "m.bottomRows<2>() =" << endl << m.bottomRows<2>() << endl << endl;
16 cout << "After assignment, m = " << endl << m << endl;
Tutorial_BlockOperations_vector.cpp 10 cout << "v.head(3) =" << endl << v.head(3) << endl << endl;
11 cout << "v.tail<3>() = " << endl << v.tail<3>() << endl << endl;
13 cout << "after 'v.segment(1,4) *= 2', v =" << endl << v << endl;
Tutorial_PartialLU_solve.cpp 14 cout << "Here is the matrix A:" << endl << A << endl;
15 cout << "Here is the vector b:" << endl << b << endl;
17 cout << "The solution is:" << endl << x << endl;
tut_arithmetic_dot_cross.cpp 11 cout << "Dot product: " << v.dot(w) << endl;
13 cout << "Dot product via a matrix product: " << dp << endl;
14 cout << "Cross product:\n" << v.cross(w) << endl;

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