Publication | Closed Access
Fast Computation Methods for the Kleene Star in Max-Plus Linear Systems with a DAG Structure
13
Citations
5
References
2009
Year
Mathematical ProgrammingDirected GraphComputational Complexity TheoryEngineeringTransition MatricesDiscrete Event SystemsComputational Model TheoryNetwork AnalysisEducationComputational ComplexitySymbolic ComputationStructural Graph TheorySystems EngineeringDiscrete MathematicsCombinatorial OptimizationProbabilistic Graph TheoryComputer EngineeringComputer ScienceGraph AlgorithmNetwork ScienceGraph TheoryMax-plus Linear SystemsNetwork AlgorithmFast Computation MethodsComputer AlgebraAlgebraic MethodDag StructureAdjacency Matrices
This research proposes efficient calculation methods for the transition matrices in discrete event systems, where the adjacency matrices are represented by directed acyclic graphs. The essence of the research focuses on obtaining the Kleene Star of an adjacency matrix. Previous studies have proposed methods for calculating the longest paths focusing on destination nodes. However, in these methods the chosen algorithm depends on whether the adjacency matrix is sparse or dense. In contrast, this research calculates the longest paths focusing on source nodes. The proposed methods are more efficient than the previous ones, and are attractive in that the efficiency is not affected by the density of the adjacency matrix.
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