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