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