compile_SelfAdjointEigenSolver_compute_MatrixType2.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 X = MatrixXd::Random(5,5);
00017 MatrixXd A = X * X.transpose();
00018 X = MatrixXd::Random(5,5);
00019 MatrixXd B = X * X.transpose();
00020 
00021 GeneralizedSelfAdjointEigenSolver<MatrixXd> es(A,B,EigenvaluesOnly);
00022 cout << "The eigenvalues of the pencil (A,B) are:" << endl << es.eigenvalues() << endl;
00023 es.compute(B,A,false);
00024 cout << "The eigenvalues of the pencil (B,A) are:" << endl << es.eigenvalues() << endl;
00025 
00026   return 0;
00027 }


re_vision
Author(s): Dorian Galvez-Lopez
autogenerated on Sun Jan 5 2014 11:30:58