There is one prototype of sygvx
            available, please see below. 
sygvx( const int_t itype, const char jobz, const char range, MatrixA& a, MatrixB& b, const Scalar >, const Scalar >, const int_t il, const int_t iu, const Scalar >, int_t& m, VectorW& w, MatrixZ& z, VectorIFAIL& ifail );
            sygvx (short for $FRIENDLY_NAME)
            provides a C++ interface to LAPACK routines SSYGVX and DSYGVX. sygvx computes selected eigenvalues,
            and optionally, 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 and B is
            also positive definite. Eigenvalues and eigenvectors can be selected
            by specifying either a range of values or a range of indices for the
            desired eigenvalues.
          
            The selection of the LAPACK routine is done during compile-time, and
            is determined by the type of values contained in type MatrixA.
            The type of values is obtained through the value_type
            meta-function typename value_type<MatrixA>::type. The dispatching table below illustrates
            to which specific routine the code path will be generated.
          
            Defined in header boost/numeric/bindings/lapack/driver/sygvx.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/sygvx.hpp> using namespace boost::numeric::bindings; lapack::sygvx( x, y, z );
this will output
[5] 0 1 2 3 4 5