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Parallel algorithms for finding a near-maximum independent set of a circle graph

机译:查找圆形图的接近最大独立集合的并行算法

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A parallel algorithm for finding a near-maximum independent set in a circle graph is presented. An independent set in a graph is a set of vertices, no two of which are adjacent. A maximum independent set is an independent set whose cardinality is the largest among all independent sets of a graph. The algorithm is modified for predicting the secondary structure in ribonucleic acids (RNA). The proposed system, composed of an n neural network array (where n is the number of edges in the circle graph of the number of possible base pairs), not only generates a near-maximum independent set but also predicts the secondary structure of ribonucleic acids within several hundred iteration steps. The simulator discovered several solutions which are more stable structures, in a sequence of 359 bases from the potato spindle tuber viroid, than previously proposed structures.
机译:提出了一种用于在圆图中找到最大近似独立集的并行算法。图中的独立集是一组顶点,其中没有两个相邻。最大独立集是图的所有独立集中基数最大的独立集。修改了算法,以预测核糖核酸(RNA)中的二级结构。所提出的系统由n个神经网络阵列(其中n是可能的碱基对数目的圆形图中的边数)组成,不仅会产生近最大的独立集,而且还能预测核糖核酸的二级结构在数百个迭代步骤中。模拟器发现了几种解决方案,它们比以前提出的结构更稳定,在马铃薯纺锤块茎类病毒中共有359个碱基的序列。

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