# EigenSymmetric

VTKExamples/Cxx/Math/EigenSymmetric

### Description

At the moment, this is a pretty messy process, so here are some helper functions that will hopefully eventually be wrapped into a class/interface.

### Code

EigenSymmetric.cxx

    #include <vtkMath.h>

    /* allocate memory for an nrow x ncol matrix */
    template<class TReal>
    TReal **create_matrix ( long nrow, long ncol )
    {
      typedef TReal* TRealPointer;
      TReal **m = new TRealPointer[nrow];

      TReal* block = ( TReal* ) calloc ( nrow*ncol, sizeof ( TReal ) );
      m[0] = block;
      for ( int row = 1; row < nrow; ++row )
      {
        m[ row ] = &block[ row * ncol ];
      }
      return m;
    }

    /* free a TReal matrix allocated with matrix() */
    template<class TReal>
        void free_matrix ( TReal **m )
    {
      free ( m[0] );
      delete[] m;
    }

    int main(int, char *[])
    {
    // Create this matrix
    // 1 2 3
    // 2 5 9
    // 3 9 8

      double **a = create_matrix<double> ( 3,3 );
      a[0][0] = 1; a[0][1] = 2;  a[0][2] = 3;
      a[1][0] = 2; a[1][1] = 5;  a[1][2] = 9;
      a[2][0] = 3; a[2][1] = 9;  a[2][2] = 8;

      //create a matrix for the eigenvectors to be stored in
      double **w = create_matrix<double> ( 3,3 );

      //create a vector for the eigenvalues to be stored in
      double v[3];

      //compute the eigenvalues/vectors
      vtkMath::Jacobi ( a,v,w );

      //output eigen values
      std::cout << "Eigen values (decreasing order): " << std::endl;
      for ( int i=0; i<3; i++ )
      {
        std::cout << v[i] << " ";
      }

      //output eigenvectors
      std::cout << "Eigen vectors (same order as eigen values): " << std::endl;
      for ( int i=0; i<3; i++ )
      {
        //the columns of w are the eigenvectors
        std::cout << "Eigen vector " << i << " : " << w[0][i] << " " << w[1][i] << " " << w[2][i] << std::endl;
      }

      //clean up
      free_matrix ( w );
      free_matrix ( a );

      return EXIT_SUCCESS;
    }

### CMakeLists.txt

    cmake_minimum_required(VERSION 2.8)

    PROJECT(EigenSymmetric)

    find_package(VTK REQUIRED)
    include(${VTK_USE_FILE})

    add_executable(EigenSymmetric MACOSX_BUNDLE EigenSymmetric.cxx )

    target_link_libraries(EigenSymmetric ${VTK_LIBRARIES})

### Download and Build EigenSymmetric

Click here to download EigenSymmetric and its CMakeLists.txt file. Once the tarball EigenSymmetric.tar has been downloaded and extracted,

    cd EigenSymmetric/build

If VTK is installed:

    cmake ..

If VTK is not installed but compiled on your system, you will need to specify the path to your VTK build:

    cmake -DVTK_DIR:PATH=/home/me/vtk_build ..

Build the project:

    make

and run it:

    ./EigenSymmetric

WINDOWS USERS

Be sure to add the VTK bin directory to your path. This will resolve the VTK dll's at run time.