Cross Reference: /external/ceres-solver/internal/ceres/line_search

Lines Matching full:current_state
116   State current_state(num_parameters, num_effective_parameters);
134   if (!Evaluate(evaluator, x, &current_state, &summary->message)) {
142   summary->initial_cost = current_state.cost + summary->fixed_cost;
143   iteration_summary.cost = current_state.cost + summary->fixed_cost;
145   iteration_summary.gradient_max_norm = current_state.gradient_max_norm;
146   iteration_summary.gradient_norm = sqrt(current_state.gradient_squared_norm);
238       current_state.search_direction = -current_state.gradient;
242           current_state,
243           &current_state.search_direction);
278       current_state.search_direction = -current_state.gradient;
281     line_search_function.Init(x, current_state.search_direction);
282     current_state.directional_derivative =
283         current_state.gradient.dot(current_state.search_direction);
293         ? min(1.0, 1.0 / current_state.gradient_max_norm)
294         : min(1.0, 2.0 * (current_state.cost - previous_state.cost) /
295               current_state.directional_derivative);
304                        initial_step_size, current_state.directional_derivative,
305                        (current_state.cost - previous_state.cost));
312                         current_state.cost,
313                         current_state.directional_derivative,
321                        initial_step_size, current_state.cost,
322                        current_state.directional_derivative);
328     current_state.step_size = line_search_summary.optimal_step_size;
329     delta = current_state.step_size * current_state.search_direction;
331     previous_state = current_state;
344                          &current_state,
357     iteration_summary.gradient_max_norm = current_state.gradient_max_norm;
358     iteration_summary.gradient_norm = sqrt(current_state.gradient_squared_norm);
359     iteration_summary.cost_change = previous_state.cost - current_state.cost;
360     iteration_summary.cost = current_state.cost + summary->fixed_cost;
365     iteration_summary.step_size =  current_state.step_size;
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