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Eigen
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snippets
EigenSolver_pseudoEigenvectors.cpp
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1
MatrixXd
A
= MatrixXd::Random(6,6);
2
cout <<
"Here is a random 6x6 matrix, A:"
<< endl <<
A
<< endl << endl;
3
4
EigenSolver<MatrixXd>
es
(
A
);
5
MatrixXd
D
=
es
.pseudoEigenvalueMatrix();
6
MatrixXd
V
=
es
.pseudoEigenvectors();
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;
A
Definition:
test_numpy_dtypes.cpp:298
D
MatrixXd D
Definition:
EigenSolver_pseudoEigenvectors.cpp:5
es
cout<< "Here is a random 6x6 matrix, A:"<< endl<< A<< endl<< endl;EigenSolver< MatrixXd > es(A)
V
MatrixXd V
Definition:
EigenSolver_pseudoEigenvectors.cpp:6
gtsam
Author(s):
autogenerated on Sat Nov 16 2024 04:02:15