compile_Tridiagonalization_diagonal.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   MatrixXcd X = MatrixXcd::Random(4,4);
00017 MatrixXcd A = X + X.adjoint();
00018 cout << "Here is a random self-adjoint 4x4 matrix:" << endl << A << endl << endl;
00019 
00020 Tridiagonalization<MatrixXcd> triOfA(A);
00021 MatrixXd T = triOfA.matrixT();
00022 cout << "The tridiagonal matrix T is:" << endl << T << endl << endl;
00023 
00024 cout << "We can also extract the diagonals of T directly ..." << endl;
00025 VectorXd diag = triOfA.diagonal();
00026 cout << "The diagonal is:" << endl << diag << endl; 
00027 VectorXd subdiag = triOfA.subDiagonal();
00028 cout << "The subdiagonal is:" << endl << subdiag << endl;
00029 
00030   return 0;
00031 }


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