EigenSolver_pseudoEigenvectors.cpp
Go to the documentation of this file.
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