Efficient Algorithms for Sorting k-Sets in Bins

Autor: Junichi Teruyama, Kazuhisa Seto, Atsuki Nagao
Rok vydání: 2015
Předmět:
Zdroj: IEICE Transactions on Information and Systems. :1736-1743
ISSN: 1745-1361
0916-8532
DOI: 10.1587/transinf.2015edp7038
Popis: We give efficient algorithms for Sorting k-Sets in Bins. The Sorting k-Sets in Bins problem can be described as follows: We are given numbered n bins with k balls in each bin. Balls in the i-th bin are numbered n − i + 1. We can only swap balls between adjacent bins. How many swaps are needed to move all balls to the same numbered bins. For this problem, we design an efficient greedy algorithm with \(\frac{k+1}{4}n^2+O(kn)\) swaps. As k and n increase, this approaches the lower bound of \(\lceil \binom{kn}{2}/(2k-1) \rceil\). In addition, we design a more efficient recursive algorithm using \(\frac{15}{16}n^2+O(n)\) swaps for the k = 3 case.
Databáze: OpenAIRE