Literature DB >> 15446809

Random walks and chemical graph theory.

Douglas J Klein1, José Luis Palacios, Milan Randić, Nenad Trinajstić.   

Abstract

Simple random walks probabilistically grown step by step on a graph are distinguished from walk enumerations and associated equipoise random walks. Substructure characteristics and graph invariants correspondingly defined for the two types of random walks are then also distinct, though there often are analogous relations. It is noted that the connectivity index as well as some resistance-distance-related invariants make natural appearances among the invariants defined from the simple random walks. Copyright 2004 American Chemical Society

Year:  2004        PMID: 15446809     DOI: 10.1021/ci040100e

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  1 in total

1.  Tensor Algebra-based Geometrical (3D) Biomacro-Molecular Descriptors for Protein Research: Theory, Applications and Comparison with other Methods.

Authors:  Julio E Terán; Yovani Marrero-Ponce; Ernesto Contreras-Torres; César R García-Jacas; Ricardo Vivas-Reyes; Enrique Terán; F Javier Torres
Journal:  Sci Rep       Date:  2019-08-06       Impact factor: 4.379

  1 in total

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