含故障点的加强超立方体中路和圈的嵌入（英文）

本文研究了含故障点的n-维加强超立方体Q_(n,k)中的路和圈嵌入的问题.充分分析了加强超立方体网络的潜在特性,利用了构造的方法.得到了含2n-4个故障点的加强超立方体Q_(n,k)中含长为2~n-2f的容错圈的结论,推广了折叠超立方体网络中1-点容错圈嵌入的结果.其中折叠超立方体网络为加强超立方体网络的一种特殊情况.     

纽立方体网络的容错泛圈性

互连网络包含所有可能长度的圈是一个重要的拓扑性质。纽立方体网络TOn是超立方体网络Qn的一种变型,其中n≥3是奇数。Chang等人[Information Science,113(1999),147-167]证明了TOn中包含任意长度为l的圈,其中4≤l≤2n。如果TOn中的故障点数和故障边数之和不超过(n-2),Huang等人[J.Parallel andDistributed Computing,62(2002),591-640]证明了:TQn中包含长度为2n-fv的圈,其中fv是故障点数。这篇文章改进这些结果为:TQn中包含任意长度为l的圈,其中4≤l≤2n-fv。     

n维超立方体中边不交的汉密尔顿圈

n维超立方体在并行计算领域有着广泛的应用,其特殊的拓扑结构对大规模的多处理器系统的性能具有重要的影响.在选择互连网络时,汉密尔顿性是评估网络性能的一个重要指标.本文研究n维超立方体Q_n中的汉密尔顿圈,采用构造的方法证明了以下结论:当n是2的幂次方时,Q_(2n)中有且仅有n个边不交的汉密尔顿圈.     

故障折叠超立方体中的路和圈

本文研究了含故障点的n-维折叠超立方体FQn中的路和圈嵌入的问题,分析了折叠超立方体网络的潜在特性.利用了构造的方法,得到了含2n-3个故障点的折叠超立方体FQn中含长为2n-2f的圈的结论,推广了折叠超立方体网络中1-点容错圈嵌入的结果.     

含故障点的加强超立方体中路和圈的嵌入

本文研究了含故障点的n-维加强超立方体Q_n,k中的路和圈嵌入的问题.充分分析了加强超立方体网络的潜在特性,利用了构造的方法.得到了含2n-4个故障点的加强超立方体Q_n,k中含长为2ⁿ-2f的容错圈的结论,推广了折叠超立方体网络中1-点容错圈嵌入的结果.其中折叠超立方体网络为加强超立方体网络的一种特殊情况.     

互连网络的向量图模型

n-超立方体,环网,k元n超立方体,Star网络,煎饼(pancake)网络,冒泡排序(bubble sort)网络,对换树的Cayley图,De Bruijn图,Kautz图,Consecutive-d有向图,循环图以及有向环图等已被广泛的应用做处理机或通信互连网络.这些网络的性能通常通过它们的度,直径,连通度,hamiltonian性,容错度以及路由选择算法等来度量.在本文中,首先,我们提出了有向向量图和向量图的概念;其次,我们开发了有向向量图模型和向量图模型来更好地设计,分析,改良互连网络;我们进一步证明了上述各类著名互连网络都可表示为有向向量图模型或向量图模型;更重要的是该模型能够使我们设计出了新的互连网络---双星网络和三角形网络.     

Schrijver图SG(2k+2,k)的Hamilton性

通过图G的每个顶点的路称为Hamilton路,通过图G的每个顶点的圈称为Hamilton圈,具有Hamilton圈的图G称为Hamilton图.1952年Dirac曾得到关于Hamilton图一个充分条件的结论:图G有n个顶点,如果每个顶点υ满足:d(υ)≥n/2,则图G是Hamilton图.本文研究了Schrijver图SG(2k+2,k)的Hamilton性,采用寻找Hamilton圈的方法得出了Schrijver图SG(2k+2,k)是Hamilton图.     

Möbius立方体的拓扑结构性质

超立方体网络是目前在超级计算机处理器结构中应用得最广泛的拓扑结构,M(o)bius立方体是超立方体的一种变形,已经被证明它在某些方面具有优于超立方体的拓扑性质.本文指出了n维M(o)bius立方体递归结构的一些重要拓扑性质.     

M(o)bius立方体的拓扑结构性质

超立方体网络是目前在超级计算机处理器结构中应用得最广泛的拓扑结构,M(o)bius立方体是超立方体的一种变形,已经被证明它在某些方面具有优于超立方体的拓扑性质.本文指出了n维M(o)bius立方体递归结构的一些重要拓扑性质.     

正圆有向图中的弧不相交的Hamilton路和圈

2012年,Bang-Jensen和Huang(J.Combin.Theory Ser.B.2012,102:701-714)证明了2-弧强的局部半完全有向图可以分解为两个弧不相交的强连通生成子图当且仅当D不是偶圈的二次幂,并提出了任意3-强的局部竞赛图中包含两个弧不相交的Hamilton圈的猜想.主要研究正圆有向图中的弧不相交的Hamilton路和Hamilton圈,并证明了任意3-弧强的正圆有向图中包含两个弧不相交的Hamilton圈和任意4-弧强的正圆有向图中包含一个Hamilton圈和两个Hamilton路,使得它们两两弧不相交.由于任意圆有向图一定是正圆有向图,所得结论可以推广到圆有向图中.又由于圆有向图是局部竞赛图的子图类,因此所得结论说明对局部竞赛图的子图类――圆有向图,Bang-Jensen和Huang的猜想成立.     

Cycle embedding in star graphs with conditional edge faults

Among the various interconnection networks, the star graph has been an attractive one. In this paper, we consider the cycle embedding problem in star graphs with conditional edge faults. We show that there exist cycles of all even lengths from 6 to n! in an n-dimensional star graph with ?2n-7 edge faults in which each vertex is incident with at least two healthy edges for n?4.     

Cycle embedding in star graphs with more conditional faulty edges

The star graph is one of the most attractive interconnection networks. The cycle embedding problem is widely discussed in many networks, and edge fault tolerance is an important issue for networks since edge failures may occur when a network is put into use. In this paper, we investigate the cycle embedding problem in star graphs with conditional faulty edges. We show that there exist fault-free cycles of all even lengths from 6 to n! in any n-dimensional star graph S_n (n ? 4) with ?3n − 10 faulty edges in which each node is incident with at least two fault-free edges. Our result not only improves the previously best known result where the number of tolerable faulty edges is up to 2n − 7, but also extends the result that there exists a fault-free Hamiltonian cycle under the same condition.     

Complexity of networks I: The set‐complexity of binary graphs

The balance between symmetry and randomness as a property of networks can be viewed as a kind of “complexity.” We use here our previously defined “set complexity” measure (Galas et al., IEEE Trans Inf Theory 2010, 56), which was used to approach the problem of defining biological information, in the mathematical analysis of networks. This information theoretic measure is used to explore the complexity of binary, undirected graphs. The complexities, Ψ, of some specific classes of graphs can be calculated in closed form. Some simple graphs have a complexity value of zero, but graphs with significant values of Ψ are rare. We find that the most complex of the simple graphs are the complete bipartite graphs (CBGs). In this simple case, the complexity, Ψ, is a strong function of the size of the two node sets in these graphs. We find the maximum Ψ binary graphs as well. These graphs are distinct from, but similar to CBGs. Finally, we explore directed and stochastic processes for growing graphs (hill‐climbing and random duplication, respectively) and find that node duplication and partial node duplication conserve interesting graph properties. Partial duplication can grow extremely complex graphs, while full node duplication cannot do so. By examining the eigenvalue spectrum of the graph Laplacian we characterize the symmetry of the graphs and demonstrate that, in general, breaking specific symmetries of the binary graphs increases the set‐based complexity, Ψ. The implications of these results for more complex, multiparameter graphs, and for physical and biological networks and the processes of network evolution are discussed. © 2011 Wiley Periodicals, Inc. Complexity, 17,51–64, 2011     

Basic Structures of Some Interconnection Networks

Beginning in the late 1980's attractive alternatives to the n-cubes were proposed as the topologies for larger interconnection networks. These graphs tend to have many vertices as well as good connectivity and routing properties. We will look at recent developments on some newer topologies such as star graphs, alternating group graphs, split-stars, arrangement graphs and generalized (n,k) star graphs. We will present results on routing algorithms, various connectivity measures, structural theorems, augmentation, and open problems. Some applications suggest directed graphs, so the directed versions of above graphs will also be considered.     

A Contribution to the Second Neighborhood Problem

Seymour’s Second Neighborhood Conjecture asserts that every oriented graph (without digons) has a vertex whose first out-neighborhood is at most as large as its second out-neighborhood. It is proved for tournaments, tournaments missing a matching and tournaments missing a generalized star. We prove this conjecture for classes of oriented graphs whose missing graph is a comb, a complete graph minus two independent edges, or a cycle of length 5.     

Probabilistic Inductive Classes of Graphs

A unifying framework—probabilistic inductive classes of graphs (PICGs)—is defined by imposing a probability space on the rules and their left elements from the standard notion of inductive class of graphs. The rules can model the processes creating real-world social networks, such as spread of knowledge, dynamics of acquaintanceships or sexual contacts, and emergence of clusters. We demonstrate the characteristics of PICGs by casting some well-known models of growing networks in this framework. Results regarding expected size and order are derived. For PICG models of connected and 2-connected graphs order, size and asymptotic degree distribution are presented. The approaches used represent analytic alternative to computer simulation, which is mostly used to obtain the properties of evolving graphs.     

On the spectral radii of weighted double stars

The spectra of weighted graphs are given attention by some authors because the graphs in the design of networks and electronic circuits are usually weighted. In this short paper, we completely determine the spectra of weighted double stars. We also give the weighted double star that achieves the maximal spectral radius.     

Classes of graphs without star forests and related graphs

This work provides a structural characterisation of hereditary graph classes that do not contain a star forest, several graphs obtained from star forests by subset complementation, a union of cliques, and the complement of a union of cliques as induced subgraphs. This provides, for instance, structural results for graph classes not containing a matching and several complements of a matching. In terms of the speed of hereditary graph classes, our results imply that all such classes have at most factorial speed of growth.     

龙图的奇优美性

根据复杂网络研究的需要,定义(k,m)-奇优美龙图和一致(k,m)-龙图作为复杂网络的模型.这些龙图的奇优美性得到研究,其中证明方法可算法化.     

On the Index of Necklaces

We consider the following two classes of simple graphs: open necklaces and closed necklaces, consisting of a finite number of cliques of fixed orders arranged in path-like pattern and cycle-like pattern, respectively. In these two classes we determine those graphs whose index (the largest eigenvalue of the adjacency matrix) is maximal.