AnalysisSystemForRadionucli.../include/armadillo_bits/Gen_meat.hpp

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// Copyright (C) 2011-2015 National ICT Australia (NICTA)
//
// 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/.
// -------------------------------------------------------------------
//
// Written by Conrad Sanderson - http://conradsanderson.id.au
//! \addtogroup Gen
//! @{
template<typename T1, typename gen_type>
arma_inline
Gen<T1, gen_type>::Gen(const uword in_n_rows, const uword in_n_cols)
: n_rows(in_n_rows)
, n_cols(in_n_cols)
{
arma_extra_debug_sigprint();
}
template<typename T1, typename gen_type>
arma_inline
Gen<T1, gen_type>::~Gen()
{
arma_extra_debug_sigprint();
}
template<typename T1, typename gen_type>
arma_inline
typename T1::elem_type
Gen<T1, gen_type>::generate()
{
typedef typename T1::elem_type eT;
if(is_same_type<gen_type, gen_ones >::yes) { return eT(1); }
else if(is_same_type<gen_type, gen_zeros>::yes) { return eT(0); }
else if(is_same_type<gen_type, gen_randu>::yes) { return eT(arma_rng::randu<eT>()); }
else if(is_same_type<gen_type, gen_randn>::yes) { return eT(arma_rng::randn<eT>()); }
else { return eT(); }
}
template<typename T1, typename gen_type>
arma_inline
typename T1::elem_type
Gen<T1, gen_type>::operator[](const uword ii) const
{
typedef typename T1::elem_type eT;
if(is_same_type<gen_type, gen_eye>::yes)
{
return ((ii % n_rows) == (ii / n_rows)) ? eT(1) : eT(0);
}
else
{
return Gen<T1, gen_type>::generate();
}
}
template<typename T1, typename gen_type>
arma_inline
typename T1::elem_type
Gen<T1, gen_type>::at(const uword row, const uword col) const
{
typedef typename T1::elem_type eT;
if(is_same_type<gen_type, gen_eye>::yes)
{
return (row == col) ? eT(1) : eT(0);
}
else
{
return Gen<T1, gen_type>::generate();
}
}
template<typename T1, typename gen_type>
arma_inline
typename T1::elem_type
Gen<T1, gen_type>::at_alt(const uword ii) const
{
return operator[](ii);
}
template<typename T1, typename gen_type>
inline
void
Gen<T1, gen_type>::apply(Mat<typename T1::elem_type>& out) const
{
arma_extra_debug_sigprint();
// NOTE: we're assuming that the matrix has already been set to the correct size;
// this is done by either the Mat contructor or operator=()
if(is_same_type<gen_type, gen_eye >::yes) { out.eye(); }
else if(is_same_type<gen_type, gen_ones >::yes) { out.ones(); }
else if(is_same_type<gen_type, gen_zeros>::yes) { out.zeros(); }
else if(is_same_type<gen_type, gen_randu>::yes) { out.randu(); }
else if(is_same_type<gen_type, gen_randn>::yes) { out.randn(); }
}
template<typename T1, typename gen_type>
inline
void
Gen<T1, gen_type>::apply_inplace_plus(Mat<typename T1::elem_type>& out) const
{
arma_extra_debug_sigprint();
arma_debug_assert_same_size(out.n_rows, out.n_cols, n_rows, n_cols, "addition");
typedef typename T1::elem_type eT;
if(is_same_type<gen_type, gen_eye>::yes)
{
const uword N = (std::min)(n_rows, n_cols);
for(uword iq=0; iq < N; ++iq)
{
out.at(iq,iq) += eT(1);
}
}
else
{
eT* out_mem = out.memptr();
const uword n_elem = out.n_elem;
uword iq,jq;
for(iq=0, jq=1; jq < n_elem; iq+=2, jq+=2)
{
const eT tmp_i = Gen<T1, gen_type>::generate();
const eT tmp_j = Gen<T1, gen_type>::generate();
out_mem[iq] += tmp_i;
out_mem[jq] += tmp_j;
}
if(iq < n_elem)
{
out_mem[iq] += Gen<T1, gen_type>::generate();
}
}
}
template<typename T1, typename gen_type>
inline
void
Gen<T1, gen_type>::apply_inplace_minus(Mat<typename T1::elem_type>& out) const
{
arma_extra_debug_sigprint();
arma_debug_assert_same_size(out.n_rows, out.n_cols, n_rows, n_cols, "subtraction");
typedef typename T1::elem_type eT;
if(is_same_type<gen_type, gen_eye>::yes)
{
const uword N = (std::min)(n_rows, n_cols);
for(uword iq=0; iq < N; ++iq)
{
out.at(iq,iq) -= eT(1);
}
}
else
{
eT* out_mem = out.memptr();
const uword n_elem = out.n_elem;
uword iq,jq;
for(iq=0, jq=1; jq < n_elem; iq+=2, jq+=2)
{
const eT tmp_i = Gen<T1, gen_type>::generate();
const eT tmp_j = Gen<T1, gen_type>::generate();
out_mem[iq] -= tmp_i;
out_mem[jq] -= tmp_j;
}
if(iq < n_elem)
{
out_mem[iq] -= Gen<T1, gen_type>::generate();
}
}
}
template<typename T1, typename gen_type>
inline
void
Gen<T1, gen_type>::apply_inplace_schur(Mat<typename T1::elem_type>& out) const
{
arma_extra_debug_sigprint();
arma_debug_assert_same_size(out.n_rows, out.n_cols, n_rows, n_cols, "element-wise multiplication");
typedef typename T1::elem_type eT;
if(is_same_type<gen_type, gen_eye>::yes)
{
const uword N = (std::min)(n_rows, n_cols);
for(uword iq=0; iq < N; ++iq)
{
for(uword row=0; row < iq; ++row) { out.at(row,iq) = eT(0); }
for(uword row=iq+1; row < n_rows; ++row) { out.at(row,iq) = eT(0); }
}
}
else
{
eT* out_mem = out.memptr();
const uword n_elem = out.n_elem;
uword iq,jq;
for(iq=0, jq=1; jq < n_elem; iq+=2, jq+=2)
{
const eT tmp_i = Gen<T1, gen_type>::generate();
const eT tmp_j = Gen<T1, gen_type>::generate();
out_mem[iq] *= tmp_i;
out_mem[jq] *= tmp_j;
}
if(iq < n_elem)
{
out_mem[iq] *= Gen<T1, gen_type>::generate();
}
}
}
template<typename T1, typename gen_type>
inline
void
Gen<T1, gen_type>::apply_inplace_div(Mat<typename T1::elem_type>& out) const
{
arma_extra_debug_sigprint();
arma_debug_assert_same_size(out.n_rows, out.n_cols, n_rows, n_cols, "element-wise division");
typedef typename T1::elem_type eT;
if(is_same_type<gen_type, gen_eye>::yes)
{
const uword N = (std::min)(n_rows, n_cols);
for(uword iq=0; iq < N; ++iq)
{
const eT zero = eT(0);
for(uword row=0; row < iq; ++row) { out.at(row,iq) /= zero; }
for(uword row=iq+1; row < n_rows; ++row) { out.at(row,iq) /= zero; }
}
}
else
{
eT* out_mem = out.memptr();
const uword n_elem = out.n_elem;
uword iq,jq;
for(iq=0, jq=1; jq < n_elem; iq+=2, jq+=2)
{
const eT tmp_i = Gen<T1, gen_type>::generate();
const eT tmp_j = Gen<T1, gen_type>::generate();
out_mem[iq] /= tmp_i;
out_mem[jq] /= tmp_j;
}
if(iq < n_elem)
{
out_mem[iq] /= Gen<T1, gen_type>::generate();
}
}
}
template<typename T1, typename gen_type>
inline
void
Gen<T1, gen_type>::apply(subview<typename T1::elem_type>& out) const
{
arma_extra_debug_sigprint();
// NOTE: we're assuming that the submatrix has the same dimensions as the Gen object
// this is checked by subview::operator=()
if(is_same_type<gen_type, gen_eye >::yes) { out.eye(); }
else if(is_same_type<gen_type, gen_ones >::yes) { out.ones(); }
else if(is_same_type<gen_type, gen_zeros>::yes) { out.zeros(); }
else if(is_same_type<gen_type, gen_randu>::yes) { out.randu(); }
else if(is_same_type<gen_type, gen_randn>::yes) { out.randn(); }
}
//! @}