There is one prototype of spgvx
available, please see below.
spgvx( const int_t itype, const char jobz, const char range, MatrixAP& ap, MatrixBP& bp, const Scalar >, const Scalar >, const int_t il, const int_t iu, const Scalar >, int_t& m, VectorW& w, MatrixZ& z, VectorIFAIL& ifail );
spgvx (short for $FRIENDLY_NAME)
provides a C++ interface to LAPACK routines SSPGVX and DSPGVX. spgvx 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, stored
in packed storage, 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 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/spgvx.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/spgvx.hpp> using namespace boost::numeric::bindings; lapack::spgvx( x, y, z );
this will output
[5] 0 1 2 3 4 5