A Fast Computation for the State Vector in a Max-Plus Algebraic System with an Adjacency Matrix of a Directed Acyclic Graph
نویسنده
چکیده
We provide a useful method for calculating the state vector of a state equation efficiently in a max-plus algebraic system. For a discrete event system whose precedence relationships are represented by a directed acyclic graph, computing the transition matrix, which includes the Kleene star operation of a weighted adjacency matrix, is occasionally the bottleneck. On the other hand, the common objective is to compute the state equation, rather than the transition matrix itself. Since the state equation is essentially the multiplication of the transition matrix and vector, we propose algorithms for efficiently calculating the multiplication and left division of the Kleene star of an adjacency matrix and a vector.
منابع مشابه
High-Speed Computation of the Kleene Star in Max-Plus Algebra Using a Cell Broadband Engine
This research addresses a high-speed computation method for the Kleene Star of the weighted adjacency matrix in max-plus algebraic system. We focus on systems whose precedence constraints are represented by a directed acyclic graph (DAG), and implement on a Cell Broadband EngineTM (CBE) processor. Using the implementation on a Sony Playstation3TM (PS3) equipped with a CBE processor, we attempt ...
متن کاملEfficient Computation of the Kleene Star in Max-Plus Algebra using a CUDA GPU
This research aims to accelerate the computation of the Kleene star in max-plus algebra using CUDA technology on graphics processing units (GPUs). The target module is the Kleene star of a weighted adjacency matrix for directed acyclic graph (DAGs) which plays an essential role in calculating the earliest and/or latest schedule for a class of discrete event systems. In recent NVIDIA GPU cards, ...
متن کاملTHE RELATION BETWEEN TOPOLOGICAL ORDERING AND ADJACENCY MATRIX IN DIGRAPHS
In this paper the properties of node-node adjacency matrix in acyclic digraphs are considered. It is shown that topological ordering and node-node adjacency matrix are closely related. In fact, first the one to one correspondence between upper triangularity of node-node adjacency matrix and existence of directed cycles in digraphs is proved and then with this correspondence other properties of ...
متن کاملThe Main Eigenvalues of the Undirected Power Graph of a Group
The undirected power graph of a finite group $G$, $P(G)$, is a graph with the group elements of $G$ as vertices and two vertices are adjacent if and only if one of them is a power of the other. Let $A$ be an adjacency matrix of $P(G)$. An eigenvalue $lambda$ of $A$ is a main eigenvalue if the eigenspace $epsilon(lambda)$ has an eigenvector $X$ such that $X^{t}jjneq 0$, where $jj$ is the all-one...
متن کاملOnline Streaming Feature Selection Using Geometric Series of the Adjacency Matrix of Features
Feature Selection (FS) is an important pre-processing step in machine learning and data mining. All the traditional feature selection methods assume that the entire feature space is available from the beginning. However, online streaming features (OSF) are an integral part of many real-world applications. In OSF, the number of training examples is fixed while the number of features grows with t...
متن کامل