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Shortest path determination processes for use in modeling systems and communications networks

机译:用于建模系统和通信网络的最短路径确定过程

摘要

Methods for operating a modeling system and/or a communications network, using a computer assisted process, are described, which transform a first set of signals, including (a) signals representing a given linear network defined in terms of a set of node identification signals, (b) a set of weighted/directed edge signals each of which identify the weight, direction and the pair of nodes in the network interconnected via a given edge, and (c) signals representing arbitrarily specified start and target nodes in the network, into a second set of signals indicating the shortest path in the network between the start and target nodes. The processes contemplated by the invention perform the aforementioned transformation by incrementally creating an array of node identification signals directly from the first set of signals. No starting matrix (or sparse matrix), as required by prior art processes, needs to be created or stored. Furthermore, the processes contemplated by the invention build the array as a function of array contents (as the array is being incrementally created). As a result of these features, it is not necessary to visit every node in the network to determine the shortest path between two nodes, and the shortest path determination can be made in a manner which conserves computing resources.
机译:描述了用于使用计算机辅助过程来操作建模系统和/或通信网络的方法,该方法转换第一组信号,包括(a)表示根据一组节点标识信号定义的给定线性网络的信号,(b)一组加权/定向边缘信号,每个信号都标识网络中通过给定边缘互连的权重,方向和节点对,以及(c)表示网络中任意指定的起始节点和目标节点的信号,进入第二组信号,指示网络中起始节点和目标节点之间的最短路径。本发明所设想的过程通过直接从第一组信号中增量地创建节点识别信号的阵列来执行上述变换。不需要创建或存储现有技术过程所需的起始矩阵(或稀疏矩阵)。此外,本发明所考虑的过程根据阵列内容来构建阵列(随着阵列的递增创建)。这些特征的结果是,不必访问网络中的每个节点来确定两个节点之间的最短路径,并且可以以节省计算资源的方式来确定最短路径。

著录项

  • 公开/公告号US5561790A

    专利类型

  • 公开/公告日1996-10-01

    原文格式PDF

  • 申请/专利权人 INTERNATIONAL BUSINESS MACHINES CORPORATION;

    申请/专利号US19950472162

  • 发明设计人 WILLIAM E. FUSARO;

    申请日1995-06-07

  • 分类号G06F17/30;G06F17/50;

  • 国家 US

  • 入库时间 2022-08-22 03:37:47

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