AnalysisSystemForRadionucli.../include/armadillo_bits/fn_sprandn.hpp
2024-06-04 15:25:02 +08:00

115 lines
2.4 KiB
C++

// Copyright (C) 2012-2015 National ICT Australia (NICTA)
//
// This Source Code Form is subject to the terms of the Mozilla Public
// License, v. 2.0. If a copy of the MPL was not distributed with this
// file, You can obtain one at http://mozilla.org/MPL/2.0/.
// -------------------------------------------------------------------
//
// Written by Conrad Sanderson - http://conradsanderson.id.au
//! \addtogroup fn_sprandn
//! @{
//! Generate a sparse matrix with a randomly selected subset of the elements
//! set to random values from a Gaussian distribution with zero mean and unit variance
template<typename obj_type>
inline
obj_type
sprandn
(
const uword n_rows,
const uword n_cols,
const double density,
const typename arma_SpMat_SpCol_SpRow_only<obj_type>::result* junk = 0
)
{
arma_extra_debug_sigprint();
arma_ignore(junk);
if(is_SpCol<obj_type>::value == true)
{
arma_debug_check( (n_cols != 1), "sprandn(): incompatible size" );
}
else
if(is_SpRow<obj_type>::value == true)
{
arma_debug_check( (n_rows != 1), "sprandn(): incompatible size" );
}
obj_type out;
out.sprandn(n_rows, n_cols, density);
return out;
}
template<typename obj_type>
inline
obj_type
sprandn(const SizeMat& s, const double density, const typename arma_SpMat_SpCol_SpRow_only<obj_type>::result* junk = 0)
{
arma_extra_debug_sigprint();
arma_ignore(junk);
return sprandn<obj_type>(s.n_rows, s.n_cols, density);
}
inline
sp_mat
sprandn(const uword n_rows, const uword n_cols, const double density)
{
arma_extra_debug_sigprint();
sp_mat out;
out.sprandn(n_rows, n_cols, density);
return out;
}
inline
sp_mat
sprandn(const SizeMat& s, const double density)
{
arma_extra_debug_sigprint();
sp_mat out;
out.sprandn(s.n_rows, s.n_cols, density);
return out;
}
//! Generate a sparse matrix with the non-zero values in the same locations as in the given sparse matrix X,
//! with the non-zero values set to random values from a Gaussian distribution with zero mean and unit variance
template<typename T1>
inline
SpMat<typename T1::elem_type>
sprandn(const SpBase<typename T1::elem_type, T1>& X)
{
arma_extra_debug_sigprint();
typedef typename T1::elem_type eT;
SpMat<eT> out( X.get_ref() );
arma_rng::randn<eT>::fill( access::rwp(out.values), out.n_nonzero );
return out;
}
//! @}