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SelfAdjointEigenSolver_compute_MatrixType2.cpp
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1
MatrixXd
X
= MatrixXd::Random(5,5);
2
MatrixXd
A
=
X
*
X
.transpose();
3
X
= MatrixXd::Random(5,5);
4
MatrixXd
B
=
X
*
X
.transpose();
5
6
GeneralizedSelfAdjointEigenSolver<MatrixXd>
es
(
A
,
B
,
EigenvaluesOnly
);
7
cout <<
"The eigenvalues of the pencil (A,B) are:"
<< endl <<
es
.eigenvalues() << endl;
8
es
.compute(
B
,
A
,
false
);
9
cout <<
"The eigenvalues of the pencil (B,A) are:"
<< endl <<
es
.eigenvalues() << endl;
X
MatrixXd X
Definition:
SelfAdjointEigenSolver_compute_MatrixType2.cpp:1
B
Definition:
test_numpy_dtypes.cpp:299
es
GeneralizedSelfAdjointEigenSolver< MatrixXd > es(A, B, EigenvaluesOnly)
A
Definition:
test_numpy_dtypes.cpp:298
Eigen::EigenvaluesOnly
@ EigenvaluesOnly
Definition:
Constants.h:402
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Author(s):
autogenerated on Thu Jun 13 2024 03:05:03