174 lines
3.7 KiB
C++
174 lines
3.7 KiB
C++
// Copyright (C) 2008-2015 National ICT Australia (NICTA)
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//
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// This Source Code Form is subject to the terms of the Mozilla Public
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// License, v. 2.0. If a copy of the MPL was not distributed with this
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// file, You can obtain one at http://mozilla.org/MPL/2.0/.
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// -------------------------------------------------------------------
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//
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// Written by Conrad Sanderson - http://conradsanderson.id.au
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//! \addtogroup fn_randn
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//! @{
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inline
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double
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randn()
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{
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return double(arma_rng::randn<double>());
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}
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template<typename eT>
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inline
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typename arma_scalar_only<eT>::result
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randn()
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{
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return eT(arma_rng::randn<eT>());
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}
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//! Generate a vector with all elements set to random values with a gaussian distribution (zero mean, unit variance)
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arma_inline
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const Gen<vec, gen_randn>
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randn(const uword n_elem)
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{
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arma_extra_debug_sigprint();
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return Gen<vec, gen_randn>(n_elem, 1);
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}
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template<typename obj_type>
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arma_inline
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const Gen<obj_type, gen_randn>
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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)
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{
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arma_extra_debug_sigprint();
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arma_ignore(junk1);
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arma_ignore(junk2);
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if(is_Row<obj_type>::value == true)
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{
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return Gen<obj_type, gen_randn>(1, n_elem);
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}
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else
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{
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return Gen<obj_type, gen_randn>(n_elem, 1);
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}
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}
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//! Generate a dense matrix with all elements set to random values with a gaussian distribution (zero mean, unit variance)
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arma_inline
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const Gen<mat, gen_randn>
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randn(const uword n_rows, const uword n_cols)
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{
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arma_extra_debug_sigprint();
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return Gen<mat, gen_randn>(n_rows, n_cols);
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}
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arma_inline
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const Gen<mat, gen_randn>
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randn(const SizeMat& s)
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{
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arma_extra_debug_sigprint();
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return Gen<mat, gen_randn>(s.n_rows, s.n_cols);
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}
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template<typename obj_type>
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arma_inline
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const Gen<obj_type, gen_randn>
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randn(const uword n_rows, const uword n_cols, const typename arma_Mat_Col_Row_only<obj_type>::result* junk = 0)
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{
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arma_extra_debug_sigprint();
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arma_ignore(junk);
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if(is_Col<obj_type>::value == true)
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{
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arma_debug_check( (n_cols != 1), "randn(): incompatible size" );
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}
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else
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if(is_Row<obj_type>::value == true)
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{
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arma_debug_check( (n_rows != 1), "randn(): incompatible size" );
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}
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return Gen<obj_type, gen_randn>(n_rows, n_cols);
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}
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template<typename obj_type>
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arma_inline
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const Gen<obj_type, gen_randn>
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randn(const SizeMat& s, const typename arma_Mat_Col_Row_only<obj_type>::result* junk = 0)
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{
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arma_extra_debug_sigprint();
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arma_ignore(junk);
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return randn<obj_type>(s.n_rows, s.n_cols);
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}
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arma_inline
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const GenCube<cube::elem_type, gen_randn>
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randn(const uword n_rows, const uword n_cols, const uword n_slices)
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{
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arma_extra_debug_sigprint();
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return GenCube<cube::elem_type, gen_randn>(n_rows, n_cols, n_slices);
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}
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arma_inline
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const GenCube<cube::elem_type, gen_randn>
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randn(const SizeCube& s)
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{
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arma_extra_debug_sigprint();
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return GenCube<cube::elem_type, gen_randn>(s.n_rows, s.n_cols, s.n_slices);
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}
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template<typename cube_type>
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arma_inline
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const GenCube<typename cube_type::elem_type, gen_randn>
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randn(const uword n_rows, const uword n_cols, const uword n_slices, const typename arma_Cube_only<cube_type>::result* junk = 0)
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{
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arma_extra_debug_sigprint();
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arma_ignore(junk);
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return GenCube<typename cube_type::elem_type, gen_randn>(n_rows, n_cols, n_slices);
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}
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template<typename cube_type>
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arma_inline
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const GenCube<typename cube_type::elem_type, gen_randn>
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randn(const SizeCube& s, const typename arma_Cube_only<cube_type>::result* junk = 0)
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{
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arma_extra_debug_sigprint();
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arma_ignore(junk);
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return GenCube<typename cube_type::elem_type, gen_randn>(s.n_rows, s.n_cols, s.n_slices);
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}
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//! @}
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