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A Fast Computation of the State Vector in a Class of DES System

机译:一类DES系统中状态向量的快速计算

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We propose an efficient algorithm for computing the state vector of a state equation in Dioid algebra. When calculating the earliest event occurrence times for a system in which the precedence relationships are represented by a directed acyclic graph, the time complexity of computing the transition matrix is the bottleneck. The matrix can be calculated using the Kleene star operation, the time complexity of which, with the most efficient algorithm proposed thus far, is 0(n*(n+m)), where n and m represent the number of nodes and arcs, respectively. However, the primary focus in calculating the state equation is the multiplication of the transition matrix and state vector, rather than calculating the transition matrix itself. In view of this, this research proposes an algorithm for efficiently calculating the multiplication or left division of the Kleene star for an adjacency matrix and a vector. Once the topological relationships of the adjacency matrix have been obtained, the resulting vector can be computed with O(m) time complexity.
机译:我们提出了一种有效的算法来计算Dioid代数中状态方程的状态向量。当计算优先级关系由有向无环图表示的系统的最早事件发生时间时,计算转换矩阵的时间复杂度是瓶颈。可以使用Kleene star运算来计算矩阵,使用迄今为止提出的最有效的算法,其时间复杂度为0(n *(n + m)),其中n和m表示节点和弧的数量,分别。但是,计算状态方程式的主要重点是转移矩阵和状态向量的乘法,而不是计算转移矩阵本身。有鉴于此,本研究提出了一种算法,可以有效地计算邻接矩阵和向量的Kleene星的乘法或左除法。一旦获得了邻接矩阵的拓扑关系,就可以用O(m)时间复杂度来计算所得向量。

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