There is one prototype of gejsv
available, please see below.
gejsv( const char joba, const char jobu, const char jobv, const char jobr, const char jobt, const char jobp, MatrixA& a, VectorSVA& sva, MatrixU& u, MatrixV& v );
gejsv (short for $FRIENDLY_NAME)
provides a C++ interface to LAPACK routines SGEJSV and DGEJSV. gejsv computes the singular value decomposition
(SVD) of a real M-by-N matrix [A], where M >= N. The SVD of [A] is
written as
[A] = [U] * [SIGMA] * [V]^t,
where [SIGMA] is an N-by-N (M-by-N) matrix which is zero except for its N diagonal elements, [U] is an M-by-N (or M-by-M) orthonormal matrix, and [V] is an N-by-N orthogonal matrix. The diagonal elements of [SIGMA] are the singular values of [A]. The columns of [U] and [V] are the left and the right singular vectors of [A], respectively. The matrices [U] and [V] are computed and stored in the arrays U and V, respectively. The diagonal of [SIGMA] is computed and stored in the array SVA.
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/gejsv.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/gejsv.hpp> using namespace boost::numeric::bindings; lapack::gejsv( x, y, z );
this will output
[5] 0 1 2 3 4 5