diff armadillo-3.900.4/include/armadillo_bits/fn_randn.hpp @ 49:1ec0e2823891

Switch to using subrepo copies of qm-dsp, nnls-chroma, vamp-plugin-sdk; update Armadillo version; assume build without external BLAS/LAPACK

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/armadillo-3.900.4/include/armadillo_bits/fn_randn.hpp	Thu Jun 13 10:25:24 2013 +0100
@@ -0,0 +1,123 @@
+// Copyright (C) 2008-2012 NICTA (www.nicta.com.au)
+// Copyright (C) 2008-2012 Conrad Sanderson
+// 
+// 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/.
+
+
+//! \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, gen_randn>
+randn(const uword n_elem)
+  {
+  arma_extra_debug_sigprint();
+  
+  return Gen<vec, gen_randn>(n_elem, 1);
+  }
+
+
+
+template<typename obj_type>
+arma_inline
+const Gen<obj_type, gen_randn>
+randn(const uword n_elem, const arma_empty_class junk1 = arma_empty_class(), const typename arma_Mat_Col_Row_only<obj_type>::result* junk2 = 0)
+  {
+  arma_extra_debug_sigprint();
+  arma_ignore(junk1);
+  arma_ignore(junk2);
+  
+  if(is_Row<obj_type>::value == true)
+    {
+    return Gen<obj_type, gen_randn>(1, n_elem);
+    }
+  else
+    {
+    return Gen<obj_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, gen_randn>
+randn(const uword n_rows, const uword n_cols)
+  {
+  arma_extra_debug_sigprint();
+  
+  return Gen<mat, gen_randn>(n_rows, n_cols);
+  }
+
+
+
+template<typename obj_type>
+arma_inline
+const Gen<obj_type, gen_randn>
+randn(const uword n_rows, const uword n_cols, const typename arma_Mat_Col_Row_only<obj_type>::result* junk = 0)
+  {
+  arma_extra_debug_sigprint();
+  arma_ignore(junk);
+  
+  if(is_Col<obj_type>::value == true)
+    {
+    arma_debug_check( (n_cols != 1), "randn(): incompatible size" );
+    }
+  else
+  if(is_Row<obj_type>::value == true)
+    {
+    arma_debug_check( (n_rows != 1), "randn(): incompatible size" );
+    }
+  
+  return Gen<obj_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);
+  }
+
+
+
+//! @}