本文整理汇总了C++中CData::get_item_by_norm_indicator方法的典型用法代码示例。如果您正苦于以下问题：C++ CData::get_item_by_norm_indicator方法的具体用法？C++ CData::get_item_by_norm_indicator怎么用？C++ CData::get_item_by_norm_indicator使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类CData的用法示例。
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示例1: y_q
void CParam::S2_add(Uniform &randUnif,CData &Data) {
int n_needtoupdate = 0;
for (int i_faulty=1; i_faulty<=Data.n_faulty; i_faulty++){
int i_original = Data.Faulty2Original[i_faulty-1];
ColumnVector item_by_bal;
ColumnVector s_i = S_Mat.column(i_faulty);
ColumnVector item_by_rnorm = Data.get_item_by_norm_indicator(s_i,item_by_bal);
//Generate from normal distribution
if ( item_by_rnorm.sum() >= 1 ) { // if no random number, other values by balanc edits remain same
n_needtoupdate++;
ColumnVector mu_z_i = Mu.column(z_in(i_original)) ;
ColumnVector tilde_y_i = Data.log_D_Observed.row(i_original).t();
ColumnVector s_1_compact = Data.get_compact_vector(item_by_rnorm);
ColumnVector Mu_1i = subvector(mu_z_i,s_1_compact);
LowerTriangularMatrix LSigma_1i_i;
ColumnVector y_q(n_var);
double log_cond_norm_q = calculate_log_cond_norm(Data, i_original, item_by_rnorm, tilde_y_i, y_q, true, LSigma_1i_i, s_i); // MODIFIED 2015/02/16
ColumnVector y_i = (Y_in.row(i_original)).t() ;
// ColumnVector y_part_i = subvector(y_i,item_by_rnorm);
// Put values from balance edits
ColumnVector x_q = exp_ColumnVector(y_q) ;
Data.set_balance_edit_values_for_x_q(s_i, x_q, item_by_bal); // CHANGED by Hang, 2014/12/29
// double log_cond_norm_i = log_MVN_fn(y_part_i,Mu_1i,LSigma_1i_i);
double log_cond_norm_i = calculate_log_cond_norm(Data, i_original, item_by_rnorm, tilde_y_i, y_q, false, LSigma_1i_i, s_i); // CHANGED 2015/01/27 , // MODIFIED 2015/02/16
// Acceptance/Rejection
if (Data.PassEdits(x_q)) { // Check constraints
y_q = log_ColumnVector(x_q) ;
ColumnVector y_compact_q = Data.get_compact_vector(y_q);
ColumnVector y_compact_i = Data.get_compact_vector(y_i);
double log_full_norm_q = log_MVN_fn(y_compact_q,mu_z_i,LSIGMA_i[z_in(i_original)-1],logdet_and_more(z_in(i_original)));
double log_full_norm_i = log_MVN_fn(y_compact_i,mu_z_i,LSIGMA_i[z_in(i_original)-1],logdet_and_more(z_in(i_original)));
// Calculate acceptance ratio
double logNum = log_full_norm_q - log_cond_norm_q;
double logDen = log_full_norm_i - log_cond_norm_i;
accept_rate(2) = exp( logNum - logDen );
if (randUnif.Next() < accept_rate(2)){
Y_in.row(i_original) = y_q.t();
is_accept(2)++;
}
}
}
}
is_accept(2) = is_accept(2) / n_needtoupdate;
}