一种线性时间算法在3页中可视化打结结构

V. Kurlin
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引用次数: 3

摘要

我们介绍了分子和神经网络中打结结构的简单代码和快速可视化工具。结,链接和更一般的结图研究到欧几里得三维空间的环境同位素。结图可以用平面图或抽象高斯码表示。首先,我们在线性时间内识别抽象高斯码是否表示嵌入在三维空间中的实际图形。其次,我们设计了一种快速绘制3页书中任意结图的算法,该算法是沿其公共边界线的3个半平面的并。我们的绘图算法的运行时间与给定图的高斯码长度成线性关系。三页嵌入为打结图提供了简单的线性编码,使得三维空间中所有图的同位素问题完全简化为有限表示半群中的单词问题。
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A Linear Time Algorithm for Visualizing Knotted Structures in 3 Pages
We introduce simple codes and fast visualization tools for knotted structures in molecules and neural networks. Knots, links and more general knotted graphs are studied up to an ambient isotopy in Euclidean 3-space. A knotted graph can be represented by a plane diagram or by an abstract Gauss code. First we recognize in linear time if an abstract Gauss code represents an actual graph embedded in 3-space. Second we design a fast algorithm for drawing any knotted graph in the 3-page book, which is a union of 3 half-planes along their common boundary line. The running time of our drawing algorithm is linear in the length of a Gauss code of a given graph. Three-page embeddings provide simple linear codes of knotted graphs so that the isotopy problem for all graphs in 3-space completely reduces to a word problem in finitely presented semigroups.
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