Updates the candidates bounds at the end of an iteration.

Updates the candidates bounds at the end of an iteration.

Usage

new_bounds(best_candidate, candidates_data, storage_points)

Arguments

best_candidate

_

candidates_data

List of vector of doubles of length 3. One vector of double for each cluster candidate. The vectors of doubles have the form (bound min, bound max, number of points). The number of points must be >3 to update bounds at each iterations and approach solution.

storage_points

Vector of integers. Storage volumes candidates at these iteration

Value

A list with : storage_bounds (Vector of integers. Storage volumes candidates at next iteration.) and candidates_data (List. It is of the same form as the candidates_data argument with new clusters candidates.)