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Approximability of Latin Square Completion-Type Puzzles

机译:拉丁方完成式拼图的逼近度

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Among many variations of pencil puzzles, Latin square Completion-Type puzzles (LSCP), such as Sudoku, Futoshiki and Block-Sum, are quite popular for puzzle fans. Concerning these puzzles, the solvability has been investigated from the viewpoint of time complexity in the last decade; it has been shown that, in most of these puzzles, it is NP-complete to determine whether a given puzzle instance has a proper solution. In this paper, we investigate the approximability of LSCP. We formulate LSCP as the maximization problem that asks to fill as many cells as possible, under the Latin square condition and the inherent condition. We then propose simple generic approximation algorithms for LSCP and analyze their approximation ratios.
机译:在铅笔拼图的许多变体中,诸如Sudoku,Futoshiki和Block-Sum之类的拉丁方形完全拼图(LSCP)在拼图迷中非常受欢迎。关于这些难题,从过去十年的时间复杂性的角度研究了可解性。已经表明,在大多数这些难题中,确定给定难题实例是否具有适当的解决方案是NP完全的。在本文中,我们研究了LSCP的近似性。我们将LSCP公式化为最大化问题,要求在拉丁方条件和固有条件下填充尽可能多的像元。然后,我们为LSCP提出了简单的通用逼近算法,并分析了它们的逼近率。

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