Lines Matching refs:cv_cntr

101     num_csv, num_dsiv,  num_dssv,  num_dsrv, rv_cntr = 0, cv_cntr = 0,  in initialize_dakota_variable_types()  local
112 for (i=0; i<num_cdv; ++i, ++rv_cntr, ++cv_cntr) in initialize_dakota_variable_types()
114 pecos_to_dakota_variable_type(u_types[rv_cntr], rv_cntr), cv_cntr); in initialize_dakota_variable_types()
131 for (i=0; i<num_cauv; ++i, ++rv_cntr, ++cv_cntr) in initialize_dakota_variable_types()
133 pecos_to_dakota_variable_type(u_types[rv_cntr], rv_cntr), cv_cntr); in initialize_dakota_variable_types()
150 for (i=0; i<num_ceuv; ++i, ++rv_cntr, ++cv_cntr) in initialize_dakota_variable_types()
152 pecos_to_dakota_variable_type(u_types[rv_cntr], rv_cntr), cv_cntr); in initialize_dakota_variable_types()
169 for (i=0; i<num_csv; ++i, ++rv_cntr, ++cv_cntr) in initialize_dakota_variable_types()
171 pecos_to_dakota_variable_type(u_types[rv_cntr], rv_cntr), cv_cntr); in initialize_dakota_variable_types()
218 num_csv, num_dsiv, num_dssv, num_dsrv, cv_cntr = 0, rv_cntr = 0; in update_model_bounds() local
230 if (cdv) cv_cntr += num_cdv; in update_model_bounds()
234 for (i=0; i<num_cauv; ++i, ++cv_cntr, ++rv_cntr) { in update_model_bounds()
238 c_l_bnds[cv_cntr] = -bnd; c_u_bnds[cv_cntr] = bnd; break; in update_model_bounds()
240 c_l_bnds[cv_cntr] = 0.; c_u_bnds[cv_cntr] = 1.+bnd; break; in update_model_bounds()
246 c_l_bnds[cv_cntr] = 0.; in update_model_bounds()
247 c_u_bnds[cv_cntr] = mean + bnd * stdev; break; in update_model_bounds()
257 c_l_bnds[cv_cntr] = (l_bnd > -dbl_inf) ? l_bnd : // use spec bound in update_model_bounds()
259 c_u_bnds[cv_cntr] = (u_bnd < dbl_inf) ? u_bnd : // use spec bound in update_model_bounds()
267 c_l_bnds[cv_cntr] = 0.; in update_model_bounds()
268 c_u_bnds[cv_cntr] = mean + bnd * stdev; in update_model_bounds()
275 c_l_bnds[cv_cntr] = l_bnd; // spec or 0 in update_model_bounds()
277 c_u_bnds[cv_cntr] = u_bnd; // use spec bound in update_model_bounds()
284 c_u_bnds[cv_cntr] = mean + bnd * stdev; in update_model_bounds()
291 c_l_bnds[cv_cntr] = subModel.continuous_lower_bound(cv_cntr); in update_model_bounds()
292 c_u_bnds[cv_cntr] = subModel.continuous_upper_bound(cv_cntr); in update_model_bounds()
302 c_l_bnds[cv_cntr] = mean - bnd * stdev; in update_model_bounds()
303 c_u_bnds[cv_cntr] = mean + bnd * stdev; in update_model_bounds()
312 c_l_bnds[cv_cntr] = 0.; c_u_bnds[cv_cntr] = mean + bnd * stdev; break; in update_model_bounds()
320 c_l_bnds[cv_cntr] = 0.; c_u_bnds[cv_cntr] = mean + bnd * stdev; break; in update_model_bounds()
330 for (i=0; i<num_ceuv; ++i, ++cv_cntr, ++rv_cntr) { in update_model_bounds()
335 c_l_bnds[cv_cntr] = subModel.continuous_lower_bound(cv_cntr); in update_model_bounds()
336 c_u_bnds[cv_cntr] = subModel.continuous_upper_bound(cv_cntr); in update_model_bounds()
352 if (cdv) cv_cntr += num_cdv; in update_model_bounds()
356 for (i=0; i<num_cauv; ++i, ++cv_cntr, ++rv_cntr) { in update_model_bounds()
360 c_l_bnds[cv_cntr] = -dbl_inf; c_u_bnds[cv_cntr] = dbl_inf; break; in update_model_bounds()
364 c_l_bnds[cv_cntr] = 0.; c_u_bnds[cv_cntr] = dbl_inf; break; in update_model_bounds()
367 rv_i.pull_parameter(Pecos::N_LWR_BND, c_l_bnds[cv_cntr]); in update_model_bounds()
368 rv_i.pull_parameter(Pecos::N_UPR_BND, c_u_bnds[cv_cntr]); in update_model_bounds()
372 rv_i.pull_parameter(Pecos::LN_LWR_BND, c_l_bnds[cv_cntr]); in update_model_bounds()
373 rv_i.pull_parameter(Pecos::LN_UPR_BND, c_u_bnds[cv_cntr]); in update_model_bounds()
378 c_l_bnds[cv_cntr] = subModel.continuous_lower_bound(cv_cntr); in update_model_bounds()
379 c_u_bnds[cv_cntr] = subModel.continuous_upper_bound(cv_cntr); break; in update_model_bounds()
388 for (i=0; i<num_ceuv; ++i, ++cv_cntr, ++rv_cntr) { in update_model_bounds()
393 c_l_bnds[cv_cntr] = subModel.continuous_lower_bound(cv_cntr); in update_model_bounds()
394 c_u_bnds[cv_cntr] = subModel.continuous_upper_bound(cv_cntr); in update_model_bounds()