用于应用程序开发的增强有向图库

ACM-SE 20 Pub Date : 1982-04-01 DOI:10.1145/503896.503924
D. C. Clarke
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引用次数: 4

摘要

有向图已经被用作计算机科学中许多应用的理论基础,尤其是人工智能。在实际工作中使用有向图有两个缺点:1。将各种类型的数据与图中的节点以及节点之间的连接关联起来的困难;随着图的大小和复杂性的增长,无法有效地搜索和修改图。本文描述了一个用于处理有向图的协作例程库,克服了这些问题。第一个问题是通过向通常的有向图模型中添加“数据标记”和“连接描述符”的概念来克服的。利用二叉树工具实现增广有向图,解决了效率问题。本文介绍了增广有向图的“访问方法”,以及如何将其作为应用程序开发的基础。
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An augmented directed graph base for application development
Directed graphs have been used as the theoretical base for many applications in Computer Science -- especially artificial intelligence. Two drawbacks to the use of directed graphs for more practical work have been:1. The difficulty in associating data of a variety of types with the nodes in the graph and with the connections between the nodes, and2. The inability to search and modify the graph efficiently as the size and complexity of the graph grows.This paper describes a library of cooperating routines for dealing with directed graphs that overcomes these objections. The first problem is overcome by adding to the usual directed graph model the concepts of "data tags" and "connection descriptors." The problem of efficiency is addressed by using a binary tree facility to implement the augmented directed graph. This paper describes the augmented directed graph "access method" and how it can be used as the base for application development.
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