fn_randn.hpp

Go to the documentation of this file.
00001 // Copyright (C) 2009 NICTA
00002 // 
00003 // Authors:
00004 // - Conrad Sanderson (conradsand at ieee dot org)
00005 // 
00006 // This file is part of the Armadillo C++ library.
00007 // It is provided without any warranty of fitness
00008 // for any purpose. You can redistribute this file
00009 // and/or modify it under the terms of the GNU
00010 // Lesser General Public License (LGPL) as published
00011 // by the Free Software Foundation, either version 3
00012 // of the License or (at your option) any later version.
00013 // (see http://www.opensource.org/licenses for more info)
00014 
00015 
00016 //! \addtogroup fn_randn
00017 //! @{
00018 
00019 
00020 
00021 //! Generate a dense matrix with all elements set to random values with a gaussian distribution (zero mean, unit variance)
00022 inline
00023 const Op<mat, op_randn>
00024 randn(const u32 n_rows, const u32 n_cols)
00025   {
00026   arma_extra_debug_sigprint();
00027   
00028   return Op<mat, op_randn>(n_rows, n_cols, 'j');
00029   }
00030 
00031 
00032 
00033 template<typename mat_type>
00034 const Op<mat_type,op_randn>
00035 randn(const u32 n_rows, const u32 n_cols)
00036   {
00037   arma_extra_debug_sigprint();
00038   
00039   arma_type_check<is_Mat<mat_type>::value == false>::apply();
00040   
00041   return Op<mat_type,op_randn>(n_rows, n_cols, 'j');
00042   }
00043 
00044 
00045 
00046 //! Generate a vector with all elements set to random values with a gaussian distribution (zero mean, unit variance)
00047 inline
00048 const Op<colvec, op_randn>
00049 randn(const u32 n_elem)
00050   {
00051   arma_extra_debug_sigprint();
00052   
00053   return Op<colvec, op_randn>(n_elem, 1, 'j');
00054   }
00055 
00056 
00057 
00058 template<typename vec_type>
00059 inline
00060 const Op<vec_type,op_randn>
00061 randn(const u32 n_elem)
00062   {
00063   arma_extra_debug_sigprint();
00064   
00065   arma_type_check< (is_Col<vec_type>::value == false) && (is_Row<vec_type>::value == false) >::apply();
00066   
00067   return Op<vec_type,op_randn>(n_elem, 0, 'j');
00068   }
00069 
00070 //! @}