compile_EigenSolver_pseudoEigenvectors.cpp
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00001 #include <Eigen/Core>
00002 #include <Eigen/LU>
00003 #include <Eigen/QR>
00004 #include <Eigen/Cholesky>
00005 #include <Eigen/Geometry>
00006 #include <Eigen/Jacobi>
00007 #include <Eigen/Eigenvalues>
00008 #include <iostream>
00009 
00010 using namespace Eigen;
00011 using namespace std;
00012 
00013 int main(int, char**)
00014 {
00015   cout.precision(3);
00016   MatrixXd A = MatrixXd::Random(6,6);
00017 cout << "Here is a random 6x6 matrix, A:" << endl << A << endl << endl;
00018 
00019 EigenSolver<MatrixXd> es(A);
00020 MatrixXd D = es.pseudoEigenvalueMatrix();
00021 MatrixXd V = es.pseudoEigenvectors();
00022 cout << "The pseudo-eigenvalue matrix D is:" << endl << D << endl;
00023 cout << "The pseudo-eigenvector matrix V is:" << endl << V << endl;
00024 cout << "Finally, V * D * V^(-1) = " << endl << V * D * V.inverse() << endl;
00025 
00026   return 0;
00027 }


re_vision
Author(s): Dorian Galvez-Lopez
autogenerated on Sun Jan 5 2014 11:30:57