compile_Tridiagonalization_compute.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   Tridiagonalization<MatrixXf> tri;
00017 MatrixXf X = MatrixXf::Random(4,4);
00018 MatrixXf A = X + X.transpose();
00019 tri.compute(A);
00020 cout << "The matrix T in the tridiagonal decomposition of A is: " << endl;
00021 cout << tri.matrixT() << endl;
00022 tri.compute(2*A); // re-use tri to compute eigenvalues of 2A
00023 cout << "The matrix T in the tridiagonal decomposition of 2A is: " << endl;
00024 cout << tri.matrixT() << endl;
00025 
00026   return 0;
00027 }


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