/**
* Function to iterate the algorithm.
*/
static inline void
optimize_iterate ()
{
unsigned int i;
#if DEBUG_OPTIMIZE
fprintf (stderr, "optimize_iterate: start\n");
#endif
optimize->error_old = (double *) g_malloc (optimize->nbest * sizeof (double));
optimize->value_old =
(double *) g_malloc (optimize->nbest * optimize->nvariables *
sizeof (double));
optimize_step ();
optimize_save_old ();
optimize_refine ();
optimize_print ();
for (i = 1; i < optimize->niterations && !optimize->stop; ++i)
{
optimize_step ();
optimize_merge_old ();
optimize_refine ();
optimize_print ();
}
#if DEBUG_OPTIMIZE
fprintf (stderr, "optimize_iterate: end\n");
#endif
}
void optimize(InverseTemperatureIterator inverse_temperatures_begin,
InverseTemperatureIterator inverse_temperatures_end)
{
// Initialise with the given temperature range
this->initialize_inverse_temperatures(inverse_temperatures_begin, inverse_temperatures_end);
// Do the number of given recursions
for (unsigned int r = 0; r < this->optimization_steps; ++r) optimize_step();
// Calculate the weights
std::vector<double> weights = WeightCalculator::calculate_weights(this->acceptance_probabilities);
// Write the resulting temperatures into the given iterator range
InverseTemperatureIterator inverse_temperature_it = inverse_temperatures_begin;
for (unsigned int i = 0; i < this->replica_number; ++i)
{
// Weight the inverse temperature of the actual replica
(*inverse_temperature_it) = 0.0;
for (unsigned int r = 0; r < this->optimization_steps; ++r)
(*inverse_temperature_it) += weights[r] * this->inverse_temperatures[r][i];
// Increase the iterator
++inverse_temperature_it;
}
}
