【Key words】 embedding； weak embedding； strong embedding； joint tree； total genus distribution； genus distribution；
基于6个网页-相关网页
column-tree joint 树状柱节点
The basic theory of my thesis is joint tree model for embedding which was created by Liu in 2003;The method used here is called surface generating method.
本文研究的基础是嵌入的联树模型，采用的是曲面生成法。
参考来源 - 三类字母图可定向嵌入亏格分布For the second question, this article introduces a method to convert knowledge semantic web to joint tree then put the value of knowledge observation from codes into joint tree to inspect students learning level.
对于第二个问题,本文介绍了一种把知识点语义网络转换为联合树的方法,并在联合树上加入程序源代码中提取的知识点观测值并进行消息传播来检测单个学生掌握知识点的情况。
参考来源 - 基于本体的知识检测与分析系统的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
On the basis of the joint tree model, an embedding of a graph on a surface can be rep-resented by a joint tree, further by an associated surface of it.
在联树模型的基础上，把图在曲面上的嵌入用其联树，也即其关联曲面来表示。
In this paper, We obtain the total genus polynomials for two new classes of 4-regular graphs by using the joint tree model of a graph embedding introduced by Yanpei Liu.
本文利用刘彦佩提出的嵌入的联树模型，得出了两类新的四正则图的完全亏格多项式，并推导出已有结果的两类图的完全亏格多项式。
In this paper, We obtain the total genus polynomials for two new classes of 4-regular graphs by using the joint tree model of a graph embedding introduced by Yanpei Liu.
在刘彦佩提出的联树法的基础上，通过分类一类新图类的可定向嵌入曲面求出了这类图类的可定向嵌入的亏格分布。
应用推荐