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首页> 外文期刊>Journal of computational and theoretical nanoscience >A Molecular Computing Model for Maximum Independent Set Based on Origami and Greedy Algorithm
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A Molecular Computing Model for Maximum Independent Set Based on Origami and Greedy Algorithm

机译:基于折纸和贪婪算法的最大独立集分子计算模型

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摘要

Maximum independent set problem has been solved based on a specially designed origami structure. In this model, greedy algorithm is applied to solve the problem. It only needs to generate initial graph but not the solution space. Every time we delete a vertex which has the most adjacent vertexes until a maximum independent set appears. Thanks to the special origami structure represented a vertex, it becomes very easy to determine a vertex connected most adjacent vertexes and to clear it up. This method will help to find the maximum independent set more quickly compared with traditional method (generate solution space). For a n-vertex graph, the time complexity is O(n~2) at most. And its space complexity is O(2n) at most. This model demonstrates a great advantage to deal with similar problems.
机译:基于特殊设计的折纸结构,已解决了最大独立集问题。在该模型中,采用贪婪算法来解决该问题。它仅需要生成初始图,而无需生成解决方案空间。每次我们删除具有最邻近顶点的顶点,直到出现最大独立集为止。由于特殊的折纸结构代表了一个顶点,因此可以轻松地确定连接最邻近顶点的顶点并将其清除。与传统方法(生成解空间)相比,该方法将有助于更快地找到最大独立集。对于一个n顶点图,时间复杂度最大为O(n〜2)。而且其空间复杂度最大为O(2n)。该模型展示了解决类似问题的巨大优势。

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