Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9655121 | Discrete Applied Mathematics | 2005 | 26 Pages |
Abstract
The following search model of a coin-weighing problem is considered: G has n coins, n-2 of which are good coins of the same weight wg, one counterfeit coin of weight wh is heavier and another counterfeit coin of weight wl is lighter (wh+wl=2wg). The weighing device is a two-arms balance. Let NA(k) be the number of coins for which k weighings suffice to identify the two counterfeit coins by algorithm A and let U(k)=max{nâ£n(n-1)⩽3k} be the information-theoretic upper bound of the number of coins; then, NA(k)⩽U(k). One is concerned with the question whether there is an algorithm A such that NA(k)=U(k) for all integers k. It is proved that the information-theoretic upper bound U(k) is always achievable for all even integer k⩾4. For odd integer k⩾3, we establish a general method of approximating the information-theoretic upper bound arbitrarily. The ideas and techniques of this paper can be employed easily to settle other models of two counterfeit coins.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Wen An Liu, Wei Guo Zhang, Zan Kan Nie,