There is one prototype of spgv
            available, please see below. 
spgv( const int_t itype, const char jobz, MatrixAP& ap, MatrixBP& bp, VectorW& w, MatrixZ& z );
            spgv (short for $FRIENDLY_NAME)
            provides a C++ interface to LAPACK routines SSPGV and DSPGV. spgv computes all the eigenvalues and,
            optionally, the eigenvectors of a real generalized symmetric-definite
            eigenproblem, of the form A*x(lambda)*B*x, A*Bx(lambda)*x,
            or B*A*x=(lambda)*x. Here A and B are assumed to be symmetric, stored
            in packed format, and B is also positive definite.
          
            The selection of the LAPACK routine is done during compile-time, and
            is determined by the type of values contained in type MatrixAP.
            The type of values is obtained through the value_type
            meta-function typename value_type<MatrixAP>::type. The dispatching table below illustrates
            to which specific routine the code path will be generated.
          
            Defined in header boost/numeric/bindings/lapack/driver/spgv.hpp.
          
Parameters
The definition of term 1
The definition of term 2
The definition of term 3.
Definitions may contain paragraphs.
#include <boost/numeric/bindings/lapack/driver/spgv.hpp> using namespace boost::numeric::bindings; lapack::spgv( x, y, z );
this will output
[5] 0 1 2 3 4 5