compile_SelfAdjointEigenSolver_compute_MatrixType.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   SelfAdjointEigenSolver<MatrixXf> es(4);
00017 MatrixXf X = MatrixXf::Random(4,4);
00018 MatrixXf A = X + X.transpose();
00019 es.compute(A);
00020 cout << "The eigenvalues of A are: " << es.eigenvalues().transpose() << endl;
00021 es.compute(A + MatrixXf::Identity(4,4)); // re-use es to compute eigenvalues of A+I
00022 cout << "The eigenvalues of A+I are: " << es.eigenvalues().transpose() << endl;
00023 
00024   return 0;
00025 }


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