The Design and Analysis of Computer Algorithms
The Design and Analysis of Computer Algorithms
Coordinating Asynchronous and Open Distributed Systems under Semiring-Based Timing Constraints
Electronic Notes in Theoretical Computer Science (ENTCS)
Feasibility of semiring-based timing constraints
ACM Transactions on Embedded Computing Systems (TECS)
Model Checking for a Class of Weighted Automata
Discrete Event Dynamic Systems
Solving path problems on the GPU
Parallel Computing
Fast algorithms for the maximum convolution problem
Operations Research Letters
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This note describes a generalization of an algorithm given by Aho, Hopcroft, and Ullman [1], originally derived from the work of Kleene [2] and McNaughton and Yamada [3]. The algorithm is used to compute the total cost of all paths between each pair of vertices in a directed graph when the cost of each edge is known. The cost of a path is defined as the product of the costs of the edges forming it, and the total cost of a set of paths is the sum of their individual costs. If there are n vertices labeled 1 through n and E[i, j] is the cost of the edge from vertex i to vertex j (or is zero when there is no such edge), then the total cost T[i, j] of all paths from i to j is the solution of the equation T[i, j] = &dgr;[i, j] + ∑nk-1 E[i, k]·T[k, j], (1) where &dgr;[i, i] = 1 (the cost of the path of no edges from i to i) and &dgr;[i, j] = 0 if i ≠ j. To assure that T [i, j] is always well-defined, costs are required to be elements from an algebraic structure called a closed semiring.