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diff --git a/src/armadillo/include/armadillo_bits/op_median_meat.hpp b/src/armadillo/include/armadillo_bits/op_median_meat.hpp
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index 0000000..ae80515
--- /dev/null
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@@ -0,0 +1,338 @@
+// 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 op_median
+//! @{
+
+
+
+template<typename T1>
+inline
+void
+op_median::apply(Mat<typename T1::elem_type>& out, const Op<T1,op_median>& expr)
+  {
+  arma_extra_debug_sigprint();
+  
+  typedef typename T1::elem_type eT;
+  
+  const quasi_unwrap<T1> U(expr.m);
+  
+  const uword dim = expr.aux_uword_a;
+  
+  arma_debug_check( U.M.internal_has_nan(), "median(): detected NaN"                   );
+  arma_debug_check( (dim > 1),              "median(): parameter 'dim' must be 0 or 1" );
+  
+  if(U.is_alias(out))
+    {
+    Mat<eT> tmp;
+    
+    op_median::apply_noalias(out, U.M, dim);
+    
+    out.steal_mem(tmp);
+    }
+  else
+    {
+    op_median::apply_noalias(out, U.M, dim);
+    }
+  }
+
+
+
+template<typename eT>
+inline
+void
+op_median::apply_noalias(Mat<eT>& out, const Mat<eT>& X, const uword dim, const typename arma_not_cx<eT>::result* junk)
+  {
+  arma_extra_debug_sigprint();
+  arma_ignore(junk);
+  
+  const uword X_n_rows = X.n_rows;
+  const uword X_n_cols = X.n_cols;
+  
+  if(dim == 0)  // in each column
+    {
+    arma_extra_debug_print("op_median::apply(): dim = 0");
+    
+    out.set_size((X_n_rows > 0) ? 1 : 0, X_n_cols);
+    
+    if(X_n_rows > 0)
+      {
+      std::vector<eT> tmp_vec(X_n_rows);
+      
+      for(uword col=0; col < X_n_cols; ++col)
+        {
+        arrayops::copy( &(tmp_vec[0]), X.colptr(col), X_n_rows );
+        
+        out[col] = op_median::direct_median(tmp_vec);
+        }
+      }
+    }
+  else
+  if(dim == 1)  // in each row
+    {
+    arma_extra_debug_print("op_median::apply(): dim = 1");
+    
+    out.set_size(X_n_rows, (X_n_cols > 0) ? 1 : 0);
+    
+    if(X_n_cols > 0)
+      {
+      std::vector<eT> tmp_vec(X_n_cols);
+        
+      for(uword row=0; row < X_n_rows; ++row)
+        {
+        for(uword col=0; col < X_n_cols; ++col)  { tmp_vec[col] = X.at(row,col); }
+        
+        out[row] = op_median::direct_median(tmp_vec);
+        }
+      }
+    }
+  }
+
+
+
+template<typename eT>
+inline
+void
+op_median::apply_noalias(Mat<eT>& out, const Mat<eT>& X, const uword dim, const typename arma_cx_only<eT>::result* junk)
+  {
+  arma_extra_debug_sigprint();
+  arma_ignore(junk);
+  
+  typedef typename get_pod_type<eT>::result T;
+  
+  const uword X_n_rows = X.n_rows;
+  const uword X_n_cols = X.n_cols;
+  
+  if(dim == 0)  // in each column
+    {
+    arma_extra_debug_print("op_median::apply(): dim = 0");
+    
+    out.set_size((X_n_rows > 0) ? 1 : 0, X_n_cols);
+    
+    if(X_n_rows > 0)
+      {
+      std::vector< arma_cx_median_packet<T> > tmp_vec(X_n_rows);
+      
+      for(uword col=0; col<X_n_cols; ++col)
+        {
+        const eT* colmem = X.colptr(col);
+        
+        for(uword row=0; row<X_n_rows; ++row)
+          {
+          tmp_vec[row].val   = std::abs(colmem[row]);
+          tmp_vec[row].index = row;
+          }
+        
+        uword index1 = 0;
+        uword index2 = 0;
+        op_median::direct_cx_median_index(index1, index2, tmp_vec);
+          
+        out[col] = op_mean::robust_mean(colmem[index1], colmem[index2]);
+        }
+      }
+    }
+  else
+  if(dim == 1)  // in each row
+    {
+    arma_extra_debug_print("op_median::apply(): dim = 1");
+    
+    out.set_size(X_n_rows, (X_n_cols > 0) ? 1 : 0);
+    
+    if(X_n_cols > 0)
+      {
+      std::vector< arma_cx_median_packet<T> > tmp_vec(X_n_cols);
+      
+      for(uword row=0; row<X_n_rows; ++row)
+        {
+        for(uword col=0; col<X_n_cols; ++col)
+          {
+          tmp_vec[col].val   = std::abs(X.at(row,col));
+          tmp_vec[col].index = col;
+          }
+        
+        uword index1 = 0;
+        uword index2 = 0;
+        op_median::direct_cx_median_index(index1, index2, tmp_vec);
+        
+        out[row] = op_mean::robust_mean( X.at(row,index1), X.at(row,index2) );
+        }
+      }
+    }
+  }
+
+
+
+template<typename T1>
+inline
+typename T1::elem_type
+op_median::median_vec
+  (
+  const T1& X,
+  const typename arma_not_cx<typename T1::elem_type>::result* junk
+  )
+  {
+  arma_extra_debug_sigprint();
+  arma_ignore(junk);
+  
+  typedef typename T1::elem_type eT;
+  
+  const quasi_unwrap<T1> U(X);
+  
+  const uword n_elem = U.M.n_elem;
+  
+  if(n_elem == 0)
+    {
+    arma_debug_check(true, "median(): object has no elements");
+    
+    return Datum<eT>::nan;
+    }
+  
+  arma_debug_check( U.M.internal_has_nan(), "median(): detected NaN" );
+  
+  std::vector<eT> tmp_vec(n_elem);
+  
+  arrayops::copy( &(tmp_vec[0]), U.M.memptr(), n_elem );
+  
+  return op_median::direct_median(tmp_vec);
+  }
+
+
+
+template<typename T1>
+inline
+typename T1::elem_type
+op_median::median_vec
+  (
+  const T1& X,
+  const typename arma_cx_only<typename T1::elem_type>::result* junk
+  )
+  {
+  arma_extra_debug_sigprint();
+  arma_ignore(junk);
+  
+  typedef typename T1::elem_type eT;
+  typedef typename T1::pod_type   T;
+  
+  const quasi_unwrap<T1> U(X);
+  
+  const uword n_elem = U.M.n_elem;
+  
+  if(n_elem == 0)
+    {
+    arma_debug_check(true, "median(): object has no elements");
+    
+    return Datum<eT>::nan;
+    }
+  
+  arma_debug_check( U.M.internal_has_nan(), "median(): detected NaN" );
+  
+  std::vector< arma_cx_median_packet<T> > tmp_vec(n_elem);
+  
+  const eT* A = U.M.memptr();
+  
+  for(uword i=0; i<n_elem; ++i)
+    {
+    tmp_vec[i].val   = std::abs( A[i] );
+    tmp_vec[i].index = i;
+    }
+  
+  uword index1 = 0;
+  uword index2 = 0;
+  op_median::direct_cx_median_index(index1, index2, tmp_vec);
+  
+  return op_mean::robust_mean( A[index1], A[index2] );
+  }
+
+
+
+template<typename eT>
+inline 
+eT
+op_median::direct_median(std::vector<eT>& X)
+  {
+  arma_extra_debug_sigprint();
+  
+  const uword n_elem = uword(X.size());
+  const uword half   = n_elem/2;
+  
+  typename std::vector<eT>::iterator first    = X.begin();
+  typename std::vector<eT>::iterator nth      = first + half;
+  typename std::vector<eT>::iterator pastlast = X.end();
+  
+  std::nth_element(first, nth, pastlast);
+  
+  if((n_elem % 2) == 0)  // even number of elements
+    {
+    typename std::vector<eT>::iterator start   = X.begin();
+    typename std::vector<eT>::iterator pastend = start + half;
+    
+    const eT val1 = (*nth);
+    const eT val2 = (*(std::max_element(start, pastend)));
+    
+    return op_mean::robust_mean(val1, val2);
+    }
+  else  // odd number of elements
+    {
+    return (*nth);
+    }
+  }
+
+
+
+template<typename T>
+inline 
+void
+op_median::direct_cx_median_index
+  (
+  uword& out_index1, 
+  uword& out_index2, 
+  std::vector< arma_cx_median_packet<T> >& X
+  )
+  {
+  arma_extra_debug_sigprint();
+  
+  typedef arma_cx_median_packet<T> eT;
+  
+  const uword n_elem = uword(X.size());
+  const uword half   = n_elem/2;
+  
+  typename std::vector<eT>::iterator first    = X.begin();
+  typename std::vector<eT>::iterator nth      = first + half;
+  typename std::vector<eT>::iterator pastlast = X.end();
+  
+  std::nth_element(first, nth, pastlast);
+  
+  out_index1 = (*nth).index;
+  
+  if((n_elem % 2) == 0)  // even number of elements
+    {
+    typename std::vector<eT>::iterator start   = X.begin();
+    typename std::vector<eT>::iterator pastend = start + half;
+    
+    out_index2 = (*(std::max_element(start, pastend))).index;
+    }
+  else  // odd number of elements
+    {
+    out_index2 = out_index1;
+    }
+  }
+
+
+
+//! @}
+