SEMI-TOPOLOGICAL ANALYSIS OF LINEAR NETWORKS,

Abstract

For the diagnosis of linear networks, topological formulas for network functions are found convenient. However, one has to generate all the trees and 2-trees of the network, whose number is generally very big. In practice, one encounters the situation in which some elements are more important than others. The paper presents a method of analysis which enables us to obtain network functions, leaving only several elements in a symbolical expression, so that one can study the effect of the variations of those elements. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1966
Accession Number
AD0645757

Entities

People

  • T. Kamae

Organizations

  • University of Illinois Urbana–Champaign

Tags

Fields of Study

  • Computer science

Readers

  • Educational Psychology
  • Graph Algorithms and Convex Optimization.