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Searched
refs:cout
(Results
226 - 250
of
760
) sorted by null
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/external/eigen/doc/snippets/
ColPivHouseholderQR_solve.cpp
3
cout
<< "Here is the matrix m:" << endl << m << endl;
4
cout
<< "Here is the matrix y:" << endl << y << endl;
8
cout
<< "Here is a solution x to the equation mx=y:" << endl << x << endl;
FullPivHouseholderQR_solve.cpp
3
cout
<< "Here is the matrix m:" << endl << m << endl;
4
cout
<< "Here is the matrix y:" << endl << y << endl;
8
cout
<< "Here is a solution x to the equation mx=y:" << endl << x << endl;
FullPivLU_kernel.cpp
2
cout
<< "Here is the matrix m:" << endl << m << endl;
4
cout
<< "Here is a matrix whose columns form a basis of the kernel of m:"
6
cout
<< "By definition of the kernel, m*ker is zero:"
GeneralizedEigenSolver.cpp
5
cout
<< "The (complex) numerators of the generalzied eigenvalues are: " << ges.alphas().transpose() << endl;
6
cout
<< "The (real) denominatore of the generalzied eigenvalues are: " << ges.betas().transpose() << endl;
7
cout
<< "The (complex) generalzied eigenvalues are (alphas./beta): " << ges.eigenvalues().transpose() << endl;
MatrixBase_applyOnTheRight.cpp
5
cout
<< "At start, A = " << endl << A << endl;
7
cout
<< "After A *= B, A = " << endl << A << endl;
9
cout
<< "After applyOnTheRight, A = " << endl << A << endl;
MatrixBase_colwise.cpp
2
cout
<< "Here is the matrix m:" << endl << m << endl;
3
cout
<< "Here is the sum of each column:" << endl << m.colwise().sum() << endl;
4
cout
<< "Here is the maximum absolute value of each column:"
MatrixBase_computeInverseWithCheck.cpp
2
cout
<< "Here is the matrix m:" << endl << m << endl;
7
cout
<< "It is invertible, and its inverse is:" << endl << inverse << endl;
10
cout
<< "It is not invertible." << endl;
MatrixBase_fixedBlock_int_int.cpp
2
cout
<< "Here is the matrix m:" << endl << m << endl;
3
cout
<< "Here is m.fixed<2, 2>(2, 2):" << endl << m.block<2, 2>(2, 2) << endl;
5
cout
<< "Now the matrix m is:" << endl << m << endl;
MatrixBase_rowwise.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;
4
cout
<< "Here is the maximum absolute value of each row:"
MatrixBase_set.cpp
5
cout
<< m1 << endl << endl;
8
cout
<< m2 << endl << endl;
13
cout
<< m2 << endl;
MatrixBase_template_int_int_block_int_int_int_int.cpp
2
cout
<< "Here is the matrix m:" << endl << m << endl;
3
cout
<< "Here is the block:" << endl << m.block<2, Dynamic>(1, 1, 2, 3) << endl;
5
cout
<< "Now the matrix m is:" << endl << m << endl;
SelfAdjointEigenSolver_operatorSqrt.cpp
3
cout
<< "Here is a random positive-definite matrix, A:" << endl << A << endl << endl;
7
cout
<< "The square root of A is: " << endl << sqrtA << endl;
8
cout
<< "If we square this, we get: " << endl << sqrtA*sqrtA << endl;
Tridiagonalization_packedMatrix.cpp
3
cout
<< "Here is a random symmetric 4x4 matrix:" << endl << A << endl;
6
cout
<< "The packed matrix M is:" << endl << pm << endl;
7
cout
<< "The diagonal and subdiagonal corresponds to the matrix T, which is:"
Tutorial_AdvancedInitialization_Join.cpp
3
std::
cout
<< "vec1 = " << vec1 << std::endl;
7
std::
cout
<< "vec2 = " << vec2 << std::endl;
11
std::
cout
<< "joined = " << joined << std::endl;
Tutorial_Map_rowmajor.cpp
3
cout
<< "Column-major:\n" << Map<Matrix<int,2,4> >(array) << endl;
4
cout
<< "Row-major:\n" << Map<Matrix<int,2,4,RowMajor> >(array) << endl;
5
cout
<< "Row-major using stride:\n" <<
Tutorial_solve_singular.cpp
5
cout
<< "Here is the matrix A:" << endl << A << endl;
6
cout
<< "Here is the vector b:" << endl << b << endl;
9
cout
<< "The solution is:" << endl << x << endl;
Tutorial_solve_triangular.cpp
5
cout
<< "Here is the matrix A:" << endl << A << endl;
6
cout
<< "Here is the vector b:" << endl << b << endl;
8
cout
<< "The solution is:" << endl << x << 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;
TopicAliasing_cwise.cpp
3
cout
<< "Here is the matrix mat:\n" << mat << endl << endl;
6
cout
<< "After 'mat = 2 * mat', mat = \n" << mat << endl << endl;
10
cout
<< "After the subtraction, it becomes\n" << mat << endl << endl;
15
cout
<< "After squaring, it becomes\n" << arr << endl << endl;
20
cout
<< "Doing everything at once yields\n" << mat << endl << endl;
Tridiagonalization_diagonal.cpp
3
cout
<< "Here is a random self-adjoint 4x4 matrix:" << endl << A << endl << endl;
7
cout
<< "The tridiagonal matrix T is:" << endl << T << endl << endl;
9
cout
<< "We can also extract the diagonals of T directly ..." << endl;
11
cout
<< "The diagonal is:" << endl << diag << endl;
13
cout
<< "The subdiagonal is:" << endl << subdiag << endl;
ComplexEigenSolver_compute.cpp
2
cout
<< "Here is a random 4x4 matrix, A:" << endl << A << endl << endl;
6
cout
<< "The eigenvalues of A are:" << endl << ces.eigenvalues() << endl;
7
cout
<< "The matrix of eigenvectors, V, is:" << endl << ces.eigenvectors() << endl << endl;
10
cout
<< "Consider the first eigenvalue, lambda = " << lambda << endl;
12
cout
<< "If v is the corresponding eigenvector, then lambda * v = " << endl << lambda * v << endl;
13
cout
<< "... and A * v = " << endl << A * v << endl << endl;
15
cout
<< "Finally, V * D * V^(-1) = " << endl
/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
...]
/external/eigen/doc/examples/
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;
/external/eigen/unsupported/doc/examples/
PolynomialUtils1.cpp
10
cout
<< "Roots: " << roots.transpose() << endl;
13
cout
<< "Polynomial: ";
14
for( int i=0; i<4; ++i ){
cout
<< polynomial[i] << ".x^" << i << "+ "; }
15
cout
<< polynomial[4] << ".x^4" << endl;
19
cout
<< "Evaluation of the polynomial at the roots: " << evaluation.transpose();
/external/lldb/test/lang/cpp/stl/
main.cpp
16
std::
cout
<< hello_world << std::endl;
17
std::
cout
<< hello_world.length() << std::endl;
18
std::
cout
<< hello_world[11] << std::endl;
21
std::
cout
<< "size of upon construction associative_array: " << associative_array.size() << std::endl;
26
std::
cout
<< "size of associative_array: " << associative_array.size() << std::endl;
Completed in 224 milliseconds
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