inline
void
op_sp_plus::apply_inside_schur(SpMat<eT>& out, const T2& x, const SpToDOp<T3, op_sp_plus>& y)
  {
  arma_extra_debug_sigprint();

  const SpProxy<T2> proxy2(x);
  const SpProxy<T3> proxy3(y.m);

  arma_debug_assert_same_size(proxy2.get_n_rows(), proxy2.get_n_cols(), proxy3.get_n_rows(), proxy3.get_n_cols(), "element-wise multiplication");

  out.zeros(proxy2.get_n_rows(), proxy2.get_n_cols());
  
  typename SpProxy<T2>::const_iterator_type it     = proxy2.begin();
  typename SpProxy<T2>::const_iterator_type it_end = proxy2.end();
  
  const eT k = y.aux;
  
  for(; it != it_end; ++it)
    {
    const uword it_row = it.row();
    const uword it_col = it.col();
    
    out.at(it_row, it_col) = (*it) * (proxy3.at(it_row, it_col) + k);
    }
  }
inline
void
op_sp_plus::apply(SpMat<typename T1::elem_type>& out, const SpToDOp<T1,op_sp_plus>& in)
  {
  arma_extra_debug_sigprint();

  typedef typename T1::elem_type eT;

  // Note that T1 will be a sparse type, so we use SpProxy.
  const SpProxy<T1> proxy(in.m);
  
  const uword n_rows = proxy.get_n_rows();
  const uword n_cols = proxy.get_n_cols();
  
  out.set_size(n_rows, n_cols);
  
  const eT k = in.aux;
  
  // We have to loop over all the elements.
  for(uword c = 0; c < n_cols; ++c)
  for(uword r = 0; r < n_rows; ++r)
    {
    out.at(r, c) = proxy.at(r, c) + k;
    }
  }
inline
void
spop_mean::apply_noalias_slow
  (
        SpMat<typename T1::elem_type>& out,
  const SpProxy<T1>&                   p,
  const uword                          dim
  )
  {
  arma_extra_debug_sigprint();

  typedef typename T1::elem_type eT;
  
  const uword p_n_rows = p.get_n_rows();
  const uword p_n_cols = p.get_n_cols();

  if(dim == 0)  // find the mean in each column
    {
    arma_extra_debug_print("spop_mean::apply_noalias(): dim = 0");
    
    out.set_size((p_n_rows > 0) ? 1 : 0, p_n_cols);
    
    if( (p_n_rows == 0) || (p.get_n_nonzero() == 0) )  { return; }
    
    for(uword col = 0; col < p_n_cols; ++col)
      {
      // Do we have to use an iterator or can we use memory directly?
      if(SpProxy<T1>::must_use_iterator)
        {
        typename SpProxy<T1>::const_iterator_type it  = p.begin_col(col);
        typename SpProxy<T1>::const_iterator_type end = p.begin_col(col + 1);
        
        const uword n_zero = p_n_rows - (end.pos() - it.pos());
        
        out.at(0,col) = spop_mean::iterator_mean(it, end, n_zero, eT(0));
        }
      else
        {
        out.at(0,col) = spop_mean::direct_mean
          (
          &p.get_values()[p.get_col_ptrs()[col]],
          p.get_col_ptrs()[col + 1] - p.get_col_ptrs()[col],
          p_n_rows
          );
        }
      }
    }
  else
  if(dim == 1)  // find the mean in each row
    {
    arma_extra_debug_print("spop_mean::apply_noalias(): dim = 1");
    
    out.set_size(p_n_rows, (p_n_cols > 0) ? 1 : 0);
    
    if( (p_n_cols == 0) || (p.get_n_nonzero() == 0) )  { return; }
    
    for(uword row = 0; row < p_n_rows; ++row)
      {
      // We must use an iterator regardless of how it is stored.
      typename SpProxy<T1>::const_row_iterator_type it  = p.begin_row(row);
      typename SpProxy<T1>::const_row_iterator_type end = p.end_row(row);
      
      const uword n_zero = p_n_cols - (end.pos() - it.pos());
      
      out.at(row,0) = spop_mean::iterator_mean(it, end, n_zero, eT(0));
      }
    }
  }
示例#4
0
inline
void
spop_diagmat::apply_noalias(SpMat<typename T1::elem_type>& out, const SpProxy<T1>& p)
  {
  arma_extra_debug_sigprint();
  
  const uword n_rows = p.get_n_rows();
  const uword n_cols = p.get_n_cols();
  
  const bool p_is_vec = (n_rows == 1) || (n_cols == 1);
  
  if(p_is_vec)    // generate a diagonal matrix out of a vector
    {
    const uword N = (n_rows == 1) ? n_cols : n_rows;
    
    out.zeros(N, N);
    
    if(p.get_n_nonzero() == 0)  { return; }
    
    typename SpProxy<T1>::const_iterator_type it     = p.begin();
    typename SpProxy<T1>::const_iterator_type it_end = p.end();
      
    if(n_cols == 1)
      {
      while(it != it_end)
        {
        const uword row = it.row();
        
        out.at(row,row) = (*it);
        
        ++it;
        }
      }
    else
    if(n_rows == 1)
      {
      while(it != it_end)
        {
        const uword col = it.col();
        
        out.at(col,col) = (*it);
        
        ++it;
        }
      }
    }
  else   // generate a diagonal matrix out of a matrix
    {
    arma_debug_check( (n_rows != n_cols), "diagmat(): given matrix is not square" );
    
    out.zeros(n_rows, n_rows);
    
    if(p.get_n_nonzero() == 0)  { return; }
    
    typename SpProxy<T1>::const_iterator_type it     = p.begin();
    typename SpProxy<T1>::const_iterator_type it_end = p.end();
      
    while(it != it_end)
      {
      const uword row = it.row();
      const uword col = it.col();
      
      if(row == col)
        {
        out.at(row,row) = (*it);
        }
      
      ++it;
      }
    }
  }
示例#5
0
inline
void
spop_var::apply_noalias
  (
        SpMat<typename T1::pod_type>& out_ref,
  const SpProxy<T1>&                  p,
  const uword                         norm_type,
  const uword                         dim
  )
  {
  arma_extra_debug_sigprint();

  typedef typename T1::elem_type  in_eT;
  //typedef typename T1::pod_type  out_eT;

  const uword p_n_rows = p.get_n_rows();
  const uword p_n_cols = p.get_n_cols();

  if(dim == 0)
    {
    arma_extra_debug_print("spop_var::apply(), dim = 0");

    arma_debug_check((p_n_rows == 0), "var(): given object has zero rows");

    out_ref.set_size(1, p_n_cols);

    for(uword col = 0; col < p_n_cols; ++col)
      {
      if(SpProxy<T1>::must_use_iterator == true)
        {
        // We must use an iterator; we can't access memory directly.
        typename SpProxy<T1>::const_iterator_type it  = p.begin_col(col);
        typename SpProxy<T1>::const_iterator_type end = p.begin_col(col + 1);
        
        const uword n_zero = p.get_n_rows() - (end.pos() - it.pos());
        
        // in_eT is used just to get the specialization right (complex / noncomplex)
        out_ref.at(col) = spop_var::iterator_var(it, end, n_zero, norm_type, in_eT(0));
        }
      else
        {
        // We can use direct memory access to calculate the variance.
        out_ref.at(col) = spop_var::direct_var
          (
          &p.get_values()[p.get_col_ptrs()[col]],
          p.get_col_ptrs()[col + 1] - p.get_col_ptrs()[col],
          p.get_n_rows(),
          norm_type
          );
        }
      }
    }
  else if(dim == 1)
    {
    arma_extra_debug_print("spop_var::apply_noalias(), dim = 1");
    
    arma_debug_check((p_n_cols == 0), "var(): given object has zero columns");
    
    out_ref.set_size(p_n_rows, 1);
    
    for(uword row = 0; row < p_n_rows; ++row)
      {
      // We have to use an iterator here regardless of whether or not we can
      // directly access memory.
      typename SpProxy<T1>::const_row_iterator_type it  = p.begin_row(row);
      typename SpProxy<T1>::const_row_iterator_type end = p.end_row(row);
      
      const uword n_zero = p.get_n_cols() - (end.pos() - it.pos());
      
      out_ref.at(row) = spop_var::iterator_var(it, end, n_zero, norm_type, in_eT(0));
      }
    }
  }
inline
void
spop_var::apply_noalias
  (
        SpMat<typename T1::pod_type>& out,
  const SpProxy<T1>&                  p,
  const uword                         norm_type,
  const uword                         dim
  )
  {
  arma_extra_debug_sigprint();
  
  typedef typename T1::elem_type  in_eT;
  //typedef typename T1::pod_type  out_eT;
  
  const uword p_n_rows = p.get_n_rows();
  const uword p_n_cols = p.get_n_cols();
  
  // TODO: this is slow; rewrite based on the approach used by sparse mean()
  
  if(dim == 0)  // find variance in each column
    {
    arma_extra_debug_print("spop_var::apply_noalias(): dim = 0");
    
    out.set_size((p_n_rows > 0) ? 1 : 0, p_n_cols);
    
    if( (p_n_rows == 0) || (p.get_n_nonzero() == 0) )  { return; }
    
    for(uword col = 0; col < p_n_cols; ++col)
      {
      if(SpProxy<T1>::must_use_iterator)
        {
        // We must use an iterator; we can't access memory directly.
        typename SpProxy<T1>::const_iterator_type it  = p.begin_col(col);
        typename SpProxy<T1>::const_iterator_type end = p.begin_col(col + 1);
        
        const uword n_zero = p_n_rows - (end.pos() - it.pos());
        
        // in_eT is used just to get the specialization right (complex / noncomplex)
        out.at(0, col) = spop_var::iterator_var(it, end, n_zero, norm_type, in_eT(0));
        }
      else
        {
        // We can use direct memory access to calculate the variance.
        out.at(0, col) = spop_var::direct_var
          (
          &p.get_values()[p.get_col_ptrs()[col]],
          p.get_col_ptrs()[col + 1] - p.get_col_ptrs()[col],
          p_n_rows,
          norm_type
          );
        }
      }
    }
  else
  if(dim == 1)  // find variance in each row
    {
    arma_extra_debug_print("spop_var::apply_noalias(): dim = 1");
    
    out.set_size(p_n_rows, (p_n_cols > 0) ? 1 : 0);
    
    if( (p_n_cols == 0) || (p.get_n_nonzero() == 0) )  { return; }
    
    for(uword row = 0; row < p_n_rows; ++row)
      {
      // We have to use an iterator here regardless of whether or not we can
      // directly access memory.
      typename SpProxy<T1>::const_row_iterator_type it  = p.begin_row(row);
      typename SpProxy<T1>::const_row_iterator_type end = p.end_row(row);
      
      const uword n_zero = p_n_cols - (end.pos() - it.pos());
      
      out.at(row, 0) = spop_var::iterator_var(it, end, n_zero, norm_type, in_eT(0));
      }
    }
  }
示例#7
0
inline
void
spdiagview<eT>::operator/=(const SpBase<eT,T1>& o)
  {
  arma_extra_debug_sigprint();
  
  spdiagview<eT>& d = *this;
  
  SpMat<eT>& d_m = const_cast< SpMat<eT>& >(d.m);
  
  const uword d_n_elem     = d.n_elem;
  const uword d_row_offset = d.row_offset;
  const uword d_col_offset = d.col_offset;
  
  const SpProxy<T1> P( o.get_ref() );
  
  arma_debug_check
    (
    ( (d_n_elem != P.get_n_elem()) || ((P.get_n_rows() != 1) && (P.get_n_cols() != 1)) ),
    "spdiagview: given object has incompatible size"
    );
  
  if( SpProxy<T1>::must_use_iterator || P.is_alias(d_m) )
    {
    const SpMat<eT> tmp(P.Q);
    
    if(tmp.n_cols == 1)
      {
      for(uword i=0; i < d_n_elem; ++i)  { d_m.at(i + d_row_offset, i + d_col_offset) /= tmp.at(i,0); }
      }
    else
    if(tmp.n_rows == 1)
      {
      for(uword i=0; i < d_n_elem; ++i)  { d_m.at(i + d_row_offset, i + d_col_offset) /= tmp.at(0,i); }
      }
    }
  else
    {
    if(P.get_n_cols() == 1)
      {
      for(uword i=0; i < d_n_elem; ++i)  { d_m.at(i + d_row_offset, i + d_col_offset) /= P.at(i,0); }
      }
    else
    if(P.get_n_rows() == 1)
      {
      for(uword i=0; i < d_n_elem; ++i)  { d_m.at(i + d_row_offset, i + d_col_offset) /= P.at(0,i); }
      }
    }
  }