Find Eigenvalues ​​of Forced Matrix Using LAPACK

I'm having trouble finding the eigenvalues ​​of a boosting matrix using LAPACK boost bindings. This is my best guess:

template<class T>
boost::numeric::ublas::vector<double> diagonalize(const boost::numeric::ublas::matrix<T>& input)
{
    // create a working copy of the input
    boost::numeric::ublas::banded_matrix<T,boost::numeric::ublas::column_major> A(input);

    fortran_int_t n = input.size1();

    // Calculate tridiagonal form
    boost::numeric::ublas::vector<double> d(n);     //diagonal elements of tridiagonal matrix
    boost::numeric::ublas::vector<double> e(n-1);   //offdiagonal elements of tridiagonal matrix
    boost::numeric::ublas::vector<T> tau(n-1);  //other stuff
    boost::numeric::bindings::lapack::hetrd( A, d, e, tau );

    //Calculate eigenvalues
    boost::numeric::bindings::lapack::sterf(n,d,e);

    return d;
}

      

        
        
        
      

    

where the compilation failed:

boost/numeric/bindings/detail/property_map.hpp:30: error: no type named 'property_map' in 'struct 
 boost::numeric::bindings::detail::adaptor_access<boost::numeric::ublas::banded_matrix<std::complex<double>, 
boost::numeric::ublas::basic_column_major<long unsigned int, long int>,
boost::numeric::ublas::unbounded_array<std::complex<double>, 
std::allocator<std::complex<double> > > >, void> 

      

        
        
        
      

    

I know that I've probably messed up the matrix types here, but the compiler error leaves me a bit helpless and I can't find any examples on the internet.