##### sbgv

###### Prototype

There is one prototype of `sbgv` available, please see below.

    sbgv( const char jobz, MatrixAB& ab, MatrixBB& bb, VectorW& w,
            MatrixZ& z );

###### Description

`sbgv` (short for $FRIENDLY_NAME) provides a C++ interface to LAPACK routines SSBGV and DSBGV. `sbgv` computes all the eigenvalues, and optionally, the eigenvectors of a real generalized symmetric-definite banded eigenproblem, of the form A*x=(lambda)*B*x. Here A and B are assumed to be symmetric and banded, 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 `MatrixAB`. The type of values is obtained through the `value_type` meta-function `typename value_type<MatrixAB>::type`. The dispatching table below illustrates to which specific routine the code path will be generated.

Table 1.115. Dispatching of sbgv

Value type of MatrixAB | LAPACK routine
--- | ---
`float` | SSBGV
`double` | DSBGV

###### Definition

Defined in header `boost/numeric/bindings/lapack/driver/sbgv.hpp`.

###### Parameters or Requirements on Types

Parameters

MatrixA

  The definition of term 1

MatrixB

  The definition of term 2

MatrixC

  The definition of term 3.

  Definitions may contain paragraphs.

###### Complexity

###### Example

    #include <boost/numeric/bindings/lapack/driver/sbgv.hpp>
    using namespace boost::numeric::bindings;

    lapack::sbgv( x, y, z );

this will output

    [5] 0 1 2 3 4 5

###### Notes

###### See Also

- Originating Fortran source files ssbgv.f and dsbgv.f at Netlib.