OpenGrok
Home
Sort by relevance
Sort by last modified time
Full Search
Definition
Symbol
File Path
History
|
|
Help
Searched
refs:cout
(Results
176 - 200
of
687
) sorted by null
1
2
3
4
5
6
7
8
9
10
11
>>
/external/eigen/doc/snippets/
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;
TopicAliasing_mult2.cpp
6
cout
<< matB << endl << endl;
10
cout
<< matB;
Tutorial_AdvancedInitialization_CommaTemporary.cpp
2
std::
cout
<< mat << std::endl << std::endl;
4
std::
cout
<< mat << std::endl;
class_FullPivLU.cpp
4
cout
<< "Here is the matrix m:" << endl << m << endl;
6
cout
<< "Here is, up to permutations, its LU decomposition matrix:"
8
cout
<< "Here is the L part:" << endl;
11
cout
<< l << endl;
12
cout
<< "Here is the U part:" << endl;
14
cout
<< u << endl;
15
cout
<< "Let us now reconstruct the original matrix m:" << endl;
16
cout
<< lu.permutationP().inverse() * l * u * lu.permutationQ().inverse() << endl;
DenseBase_setLinSpaced.cpp
3
cout
<< v << endl;
EigenSolver_pseudoEigenvectors.cpp
2
cout
<< "Here is a random 6x6 matrix, A:" << endl << A << endl << endl;
7
cout
<< "The pseudo-eigenvalue matrix D is:" << endl << D << endl;
8
cout
<< "The pseudo-eigenvector matrix V is:" << endl << V << endl;
9
cout
<< "Finally, V * D * V^(-1) = " << endl << V * D * V.inverse() << endl;
HessenbergDecomposition_matrixH.cpp
2
cout
<< "Here is a random 4x4 matrix:" << endl << A << endl;
5
cout
<< "The Hessenberg matrix H is:" << endl << H << endl;
7
cout
<< "The orthogonal matrix Q is:" << endl << Q << endl;
8
cout
<< "Q H Q^T is:" << endl << Q * H * Q.transpose() << endl;
HessenbergDecomposition_packedMatrix.cpp
2
cout
<< "Here is a random 4x4 matrix:" << endl << A << endl;
5
cout
<< "The packed matrix M is:" << endl << pm << endl;
6
cout
<< "The upper Hessenberg part corresponds to the matrix H, which is:"
9
cout
<< "The vector of Householder coefficients is:" << endl << hc << endl;
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;
/external/eigen/doc/examples/
Tutorial_ArrayClass_cwise_other.cpp
11
cout
<< "a =" << endl
13
cout
<< "a.abs() =" << endl
15
cout
<< "a.abs().sqrt() =" << endl
17
cout
<< "a.min(a.abs().sqrt()) =" << endl
Tutorial_ReductionsVisitorsBroadcasting_maxnorm.cpp
15
std::
cout
<< "Maximum sum at position " << maxIndex << std::endl;
17
std::
cout
<< "The corresponding vector is: " << std::endl;
18
std::
cout
<< mat.col( maxIndex ) << std::endl;
19
std::
cout
<< "And its sum is is: " << maxNorm << std::endl;
tut_matrix_resize.cpp
10
std::
cout
<< "The matrix m is of size "
12
std::
cout
<< "It has " << m.size() << " coefficients" << std::endl;
15
std::
cout
<< "The vector v is of size " << v.size() << std::endl;
16
std::
cout
<< "As a matrix, v is of size "
Completed in 413 milliseconds
1
2
3
4
5
6
7
8
9
10
11
>>