diff armadillo-2.4.4/include/armadillo_bits/fn_randn.hpp @ 0:8b6102e2a9b0

Armadillo Library

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/armadillo-2.4.4/include/armadillo_bits/fn_randn.hpp	Wed Apr 11 09:27:06 2012 +0100
@@ -0,0 +1,119 @@
+// Copyright (C) 2008-2011 NICTA (www.nicta.com.au)
+// Copyright (C) 2008-2011 Conrad Sanderson
+// 
+// This file is part of the Armadillo C++ library.
+// It is provided without any warranty of fitness
+// for any purpose. You can redistribute this file
+// and/or modify it under the terms of the GNU
+// Lesser General Public License (LGPL) as published
+// by the Free Software Foundation, either version 3
+// of the License or (at your option) any later version.
+// (see http://www.opensource.org/licenses for more info)
+
+
+//! \addtogroup fn_randn
+//! @{
+
+
+inline
+double
+randn()
+  {
+  return double(eop_aux_randn<double>());
+  }
+
+
+template<typename eT>
+inline
+typename arma_scalar_only<eT>::result
+randn()
+  {
+  return eT(eop_aux_randn<eT>());
+  }
+
+
+
+//! Generate a vector with all elements set to random values with a gaussian distribution (zero mean, unit variance)
+arma_inline
+const Gen<vec::elem_type, gen_randn>
+randn(const uword n_elem)
+  {
+  arma_extra_debug_sigprint();
+  
+  return Gen<vec::elem_type, gen_randn>(n_elem, 1);
+  }
+
+
+
+template<typename vec_type>
+arma_inline
+const Gen<typename vec_type::elem_type, gen_randn>
+randn(const uword n_elem, const arma_empty_class junk1 = arma_empty_class(), const typename arma_Mat_Col_Row_only<vec_type>::result* junk2 = 0)
+  {
+  arma_extra_debug_sigprint();
+  arma_ignore(junk1);
+  arma_ignore(junk2);
+  
+  if(is_Row<vec_type>::value == true)
+    {
+    return Gen<typename vec_type::elem_type, gen_randn>(1, n_elem);
+    }
+  else
+    {
+    return Gen<typename vec_type::elem_type, gen_randn>(n_elem, 1);
+    }
+  }
+
+
+
+//! Generate a dense matrix with all elements set to random values with a gaussian distribution (zero mean, unit variance)
+arma_inline
+const Gen<mat::elem_type, gen_randn>
+randn(const uword n_rows, const uword n_cols)
+  {
+  arma_extra_debug_sigprint();
+  
+  return Gen<mat::elem_type, gen_randn>(n_rows, n_cols);
+  }
+
+
+
+template<typename mat_type>
+arma_inline
+const Gen<typename mat_type::elem_type, gen_randn>
+randn(const uword n_rows, const uword n_cols, const typename arma_Mat_Col_Row_only<mat_type>::result* junk = 0)
+  {
+  arma_extra_debug_sigprint();
+  arma_ignore(junk);
+  
+  return Gen<typename mat_type::elem_type, gen_randn>(n_rows, n_cols);
+  }
+
+
+
+arma_inline
+const GenCube<cube::elem_type, gen_randn>
+randn(const uword n_rows, const uword n_cols, const uword n_slices)
+  {
+  arma_extra_debug_sigprint();
+  
+  return GenCube<cube::elem_type, gen_randn>(n_rows, n_cols, n_slices);
+  }
+
+
+
+template<typename cube_type>
+arma_inline
+const GenCube<typename cube_type::elem_type, gen_randn>
+randn(const uword n_rows, const uword n_cols, const uword n_slices, const typename arma_Cube_only<cube_type>::result* junk = 0)
+  {
+  arma_extra_debug_sigprint();
+  
+  arma_ignore(junk);
+  
+  return GenCube<typename cube_type::elem_type, gen_randn>(n_rows, n_cols, n_slices);
+  }
+
+
+
+//! @}