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Matching nuts and bolts optimally

MPG-Autoren

Bradford,  Phillip G.
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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MPI-I-95-1-025.pdf
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Zitation

Bradford, P. G.(1995). Matching nuts and bolts optimally (MPI-I-1995-1-025). Saarbrücken: Max-Planck-Institut für Informatik.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0014-A1DB-4
Zusammenfassung
The nuts and bolts problem is the following : Given a collection of $n$ nuts of distinct sizes and $n$ bolts of distinct sizes such that for each nut there is exactly one matching bolt, find for each nut its corresponding bolt subject to the restriction that we can {\em only} compare nuts to bolts. That is we can neither compare nuts to nuts, nor bolts to bolts. This humble restriction on the comparisons appears to make this problem quite difficult to solve. In this paper, we illustrate the existence of an algorithm for solving the nuts and bolts problem that makes $O(n \lg n)$ nut-and-bolt comparisons. We show the existence of this algorithm by showing the existence of certain expander-based comparator networks. Our algorithm is asymptotically optimal in terms of the number of nut-and-bolt comparisons it does. Another view of this result is that we show the existence of a decision tree with depth $O(n \lg n)$ that solves this problem.