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diff --git a/src/armadillo/include/armadillo_bits/fn_sprandn.hpp b/src/armadillo/include/armadillo_bits/fn_sprandn.hpp
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+// SPDX-License-Identifier: Apache-2.0
+// 
+// Copyright 2008-2016 Conrad Sanderson (http://conradsanderson.id.au)
+// Copyright 2008-2016 National ICT Australia (NICTA)
+// 
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+// http://www.apache.org/licenses/LICENSE-2.0
+// 
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+// ------------------------------------------------------------------------
+
+
+//! \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>
+arma_warn_unused
+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 = nullptr
+  )
+  {
+  arma_extra_debug_sigprint();
+  arma_ignore(junk);
+  
+  if(is_SpCol<obj_type>::value)
+    {
+    arma_debug_check( (n_cols != 1), "sprandn(): incompatible size" );
+    }
+  else
+  if(is_SpRow<obj_type>::value)
+    {
+    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>
+arma_warn_unused
+inline
+obj_type
+sprandn(const SizeMat& s, const double density, const typename arma_SpMat_SpCol_SpRow_only<obj_type>::result* junk = nullptr)
+  {
+  arma_extra_debug_sigprint();
+  arma_ignore(junk);
+  
+  return sprandn<obj_type>(s.n_rows, s.n_cols, density);
+  }
+
+
+
+arma_warn_unused
+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;
+  }
+
+
+
+arma_warn_unused
+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>
+arma_warn_unused
+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;
+  }
+
+
+
+//! @}