A Deterministic O(m \log {m}) Time Algorithm for the Reeb Graph

We present a deterministic algorithm to compute the Reeb graph of a PL real-valued function on a simplicial complex in $O(m \log {m})$ O ( m log m ) time, where $m$ m is the size of the 2-skeleton. The problem can be solved using dynamic graph connectivity. We obtain the running time by using offline graph connectivity which assumes that the deletion time of every arc inserted is known at the time of insertion. The algorithm is implemented and experimental results are given. In addition, we reduce the offline graph connectivity problem to computing the Reeb graph.     

Total interval number for graphs with bounded degree

The total interval number of an n-vertex graph with maximum degree Δ is at most (Δ + 1/Δ)n/2, with equality if and only if every component of the graph is K_Δ,Δ. If the graph is also required to be connected, then the maximum is Δn/2 + 1 when Δ is even, but when Δ is odd it exceeds [Δ + 1/(2.5Δ + 7.7)]n/2 for infinitely many n. © 1997 John Wiley & Sons, Inc. J Graph Theory 25: 79–84, 1997     

Very rapid mixing of the Glauber dynamics for proper colorings on bounded‐degree graphs

Recent results have shown that the Glauber dynamics for graph colorings has optimal mixing time when (i) the graph is triangle‐free and Δ‐regular and the number of colors k is a small constant fraction smaller than 2Δ, or (ii) the graph has maximum degree Δ and k=2Δ. We extend both these results to prove that the Glauber dynamics has optimal mixing time when the graph has maximum degree Δ and the number of colors is a small constant fraction smaller than 2Δ. © 2002 John Wiley & Sons, Inc. Random Struct. Alg., 20, 98–114, 2002     

图的围长与无圈边色数之间的关系

对于一个图G的正常边着色，如果此种边着色使得该图没有2—色的圈，那么这种边着色被称为是G的无圈边着色．用d(G)表示图G的无圈边色数，即G的无圈边着色中所使用的最小颜色数．Alon N，Sadakov B and Zaks A在[1]中有如下结果：对于围长至少是2000△(G)log△(G)的图G，有d(G)≤△ 2，其中△是图G的最大度．我们改进了这个结果，得到了如下结论：对于围长至少是700△(G)log△(G)的图G，有d(G)≤△ 2．     

Graph Sparsification by Universal Greedy Algorithms

Graph sparsification is to approximate an arbitrary graph by a sparse graph and is useful in many applications, such as simplification of social networks, least squares problems, and numerical solution of symmetric positive definite linear systems. In this paper, inspired by the well-known sparse signal recovery algorithm called orthogonal matching pursuit (OMP), we introduce a deterministic, greedy edge selection algorithm, which is called the universal greedy approach (UGA) for the graph sparsification problem. For a general spectral sparsification problem, e.g., the positive subset selection problem from a set of $m$ vectors in $\mathbb{R}^n$, we propose a nonnegative UGA algorithm which needs $O(mn^2+ n^3/\epsilon^2)$ time to find a $\frac{1+\epsilon/\beta}{1-\epsilon/\beta}$-spectral sparsifier with positive coefficients with sparsity at most $\lceil\frac{n}{\epsilon^2}\rceil$, where $\beta$ is the ratio between the smallest length and largest length of the vectors. The convergence of the nonnegative UGA algorithm is established. For the graph sparsification problem, another UGA algorithm is proposed which can output a $\frac{1+O(\epsilon)}{1-O(\epsilon)}$-spectral sparsifier with $\lceil\frac{n}{\epsilon^2}\rceil$ edges in $O(m+n^2/\epsilon^2)$ time from a graph with $m$ edges and $n$ vertices under some mild assumptions. This is a linear time algorithm in terms of the number of edges that the community of graph sparsification is looking for. The best result in the literature to the knowledge of the authors is the existence of a deterministic algorithm which is almost linear, i.e. $O(m^{1+o(1)})$ for some $o(1)=O(\frac{(\log\log(m))^{2/3}}{\log^{1/3}(m)})$. Finally, extensive experimental results, including applications to graph clustering and least squares regression, show the effectiveness of proposed approaches.     

A Planar linear arboricity conjecture

The linear arboricity la(G) of a graph G is the minimum number of linear forests (graphs where every connected component is a path) that partition the edges of G. In 1984, Akiyama et al. [Math Slovaca 30 (1980), 405–417] stated the Linear Arboricity Conjecture (LAC) that the linear arboricity of any simple graph of maximum degree Δ is either ?Δ/2? or ?(Δ + 1)/2?. In [J. L. Wu, J Graph Theory 31 (1999), 129–134; J. L. Wu and Y. W. Wu, J Graph Theory 58(3) (2008), 210–220], it was proven that LAC holds for all planar graphs. LAC implies that for Δ odd, la(G) = ?Δ/2?. We conjecture that for planar graphs, this equality is true also for any even Δ?6. In this article we show that it is true for any even Δ?10, leaving open only the cases Δ = 6, 8. We present also an O(n logn) algorithm for partitioning a planar graph into max{la(G), 5} linear forests, which is optimal when Δ?9. © 2010 Wiley Periodicals, Inc. J Graph Theory     

构建最小k 重控制集的概率算法

点集D ⊆ V (G) 称为图G 的k 重控制集, 如果D 满足V (G) - D 中任意结点在D 中至少有k 个邻居. 在无线网络中, 最小k 重控制集(MkDS) 用以构建健壮的虚拟骨干网. 构建虚拟骨干网是无线网络中最基本也是最重要的问题. 在本文中, 我们提出一种快速的分布式概率算法来构建k重控制集. 我们构建的k 重控制集的期望大小不超过最优解的O(k²) 倍. 算法的运行时间复杂度为O((Δ logΔ+log log n)n),其中Δ = max{|D(p)|}, D(p) 是以p 为中心半径为1 的圆盘中的结点, 最大值的比较范围是给定集合中所有的p 点.     

Vizing's coloring algorithm and the fan number

Most upper bounds for the chromatic index of a graph come from algorithms that produce edge colorings. One such algorithm was invented by Vizing [Diskret Analiz 3 (1964), 25–30] in 1964. Vizing's algorithm colors the edges of a graph one at a time and never uses more than Δ+µ colors, where Δ is the maximum degree and µ is the maximum multiplicity, respectively. In general, though, this upper bound of Δ+µ is rather generous. In this paper, we define a new parameter fan(G) in terms of the degrees and the multiplicities of G. We call fan(G) the fan number of G. First we show that the fan number can be computed by a polynomial‐time algorithm. Then we prove that the parameter Fan(G)=max{Δ(G), fan(G)} is an upper bound for the chromatic index that can be realized by Vizing's coloring algorithm. Many of the known upper bounds for the chromatic index are also upper bounds for the fan number. Furthermore, we discuss the following question. What is the best (efficiently realizable) upper bound for the chromatic index in terms of Δ and µ ? Goldberg's Conjecture supports the conjecture that χ′+1 is the best efficiently realizable upper bound for χ′ at all provided that P ≠ NP . © 2009 Wiley Periodicals, Inc. J Graph Theory 65: 115–138, 2010     

On the Hardness of Approximating the Chromatic Number

k -colorable for some fixed . Our main result is that it is NP-hard to find a 4-coloring of a 3-chromatic graph. As an immediate corollary we obtain that it is NP-hard to color a k-chromatic graph with at most colors. We also give simple proofs of two results of Lund and Yannakakis [20]. The first result shows that it is NP-hard to approximate the chromatic number to within for some fixed ε > 0. We point here that this hardness result applies only to graphs with large chromatic numbers. The second result shows that for any positive constant h, there exists an integer , such that it is NP-hard to decide whether a given graph G is -chromatic or any coloring of G requires colors. Received April 11, 1997/Revised June 10, 1999     

Plane graphs of maximum degree Δ ≥ 7 are edge-face (Δ + 1)-colorable

A plane graph G is edge-face k-colorable if its edges and faces can be colored with k colors such that any two adjacent or incident elements receive different colors. It is known that every plane graph G of maximum degree Δ ≥ 8 is edge-face (Δ + 1)-colorable. The condition Δ ≥ 8 is improved to Δ ≥ 7 in this paper.     

Coloring permutation graphs in parallel

A coloring of a graph G is an assignment of colors to its vertices so that no two adjacent vertices have the same color. We study the problem of coloring permutation graphs using certain properties of the lattice representation of a permutation and relationships between permutations, directed acyclic graphs and rooted trees having specific key properties. We propose an efficient parallel algorithm which colors an n-node permutation graph in O(log² n) time using O(n²/log n) processors on the CREW PRAM model. Specifically, given a permutation π we construct a tree T^*[π], which we call coloring-permutation tree, using certain combinatorial properties of π. We show that the problem of coloring a permutation graph is equivalent to finding vertex levels in the coloring-permutation tree.     

AT MOST SINGLE-BEND EMBEDDINGS OF CUBIC GRAPHS

ＡＴＭＯＳＴＳＩＮＧＬＥ－ＢＥＮＤＥＭＢＥＤＤＩＮＧＳＯＦＣＵＢＩＣＧＲＡＰＨＳ￥ＬＩＵＹＡＮＰＥＩ；ＭＡＲＣＨＩＯＲＯ；Ｐ．ＡＮＤＰＥＴＲＥＳＣＨＩ；Ｒ．Ａｂｓｔｒａｃｔ：Ｔｈｉｓｐａｐｅｒｐｒｏｖｉｄｅｓｔｈｅｃｏｍｐｌｅｔｅｐｒｏｏｆｏｆｔｈｅ...     

形如2kp+1的数的素性检验

本文初步探讨了如何快速检验一个大数n是素数(这里n-1含有大的素因子)的算法问题以及如何生成一个大素数p使得p-1有大的素因子q的算法问题.我们给出了形如n=2kp+1的数的素性检验的多项式时间算法,这里p是一个给定的大素数,k是正整数满足22k＜2kp.该算法的计算量为O(log32n).然后我们给出了生成一个大素数p使得p-1有大的素因子q的算法,其中q满足q＞(p-1)/log2(p-1).特别地,我们给出了判定并生成一个安全素数p的算法.     

关于最小化最大延迟的分批排序问题的一个动态规划算法的注解（英文）

In parallel-batching machine scheduling, all jobs in a batch start and complete at the same time, and the processing time of the batch is the maximum processing time of any job in it. For the unbounded parallel-batching machine scheduling problem of minimizing the maximum lateness, denoted 1|p-batch|L_(max), a dynamic programming algorithm with time complexity O(n~2) is well known in the literature.Later, this algorithm is improved to be an O(n log n) algorithm. In this note, we present another O(n log n) algorithm with simplifications on data structure and implementation details.     

Conflict-Free Coloring of Points and Simple Regions in the Plane

We study conflict-free colorings, where the underlying set systems arise in geometry. Our main result is a general framework for conflict-free coloring of regions with low union complexity. A coloring of regions is conflict-free if for any covered point in the plane, there exists a region that covers it with a unique color (i.e., no other region covering this point has the same color). For example, we show that we can conflict-free color any family of n pseudo-discs with O(log n) colors.     

Loops in Reeb Graphs of 2-Manifolds

Given a Morse function f over a 2-manifold with or without boundary, the Reeb graph is obtained by contracting the connected components of the level sets to points. We prove tight upper and lower bounds on the number of loops in the Reeb graph that depend on the genus, the number of boundary components, and whether or not the 2-manifold is orientable. We also give an algorithm that constructs the Reeb graph in time O(n log n), where n is the number of edges in the triangulation used to represent the 2-manifold and the Morse function.     

Globally F-regular and log Fano varieties

We prove that every globally F-regular variety is log Fano. In other words, if a prime characteristic variety X is globally F-regular, then it admits an effective Q-divisor Δ such that −KX−Δ is ample and (X,Δ) has controlled (Kawamata log terminal, in fact globally F-regular) singularities. A weak form of this result can be viewed as a prime characteristic analog of de Fernex and Hacon's new point of view on Kawamata log terminal singularities in the non-Q-Gorenstein case. We also prove a converse statement in characteristic zero: every log Fano variety has globally F-regular type. Our techniques apply also to F-split varieties, which we show to satisfy a “log Calabi-Yau” condition. We also prove a Kawamata-Viehweg vanishing theorem for globally F-regular pairs.     

The structure of plane graphs with independent crossings and its applications to coloring problems

If a graph G has a drawing in the plane in such a way that every two crossings are independent, then we call G a plane graph with independent crossings or IC-planar graph for short. In this paper, the structure of IC-planar graphs with minimum degree at least two or three is studied. By applying their structural results, we prove that the edge chromatic number of G is Δ if Δ ≥ 8, the list edge (resp. list total) chromatic number of G is Δ (resp. Δ + 1) if Δ ≥ 14 and the linear arboricity of G is ?Δ/2? if Δ ≥ 17, where G is an IC-planar graph and Δ is the maximum degree of G.     

Path problems in generalized stars, complete graphs, and brick wall graphs

Path problems such as the maximum edge-disjoint paths problem, the path coloring problem, and the maximum path coloring problem are relevant for resource allocation in communication networks, in particular all-optical networks. In this paper, it is shown that maximum path coloring can be solved optimally in polynomial time for bidirected generalized stars, even in the weighted case. Furthermore, the maximum edge-disjoint paths problem is proved NP-hard for complete graphs (undirected or bidirected), a constant-factor off-line approximation algorithm is presented for the weighted case, and an on-line algorithm with constant competitive ratio is given for the unweighted case. Finally, an open problem concerning the existence of routings that simultaneously minimize the maximum load and the number of colors is solved: an example for a graph and a set of requests is given such that any routing that minimizes the maximum load requires strictly more colors for path coloring than a routing that minimizes the number of colors.     

Game chromatic index of k‐degenerate graphs

We consider the following edge coloring game on a graph G. Given t distinct colors, two players Alice and Bob, with Alice moving first, alternately select an uncolored edge e of G and assign it a color different from the colors of edges adjacent to e. Bob wins if, at any stage of the game, there is an uncolored edge adjacent to colored edges in all t colors; otherwise Alice wins. Note that when Alice wins, all edges of G are properly colored. The game chromatic index of a graph G is the minimum number of colors for which Alice has a winning strategy. In this paper, we study the edge coloring game on k‐degenerate graphs. We prove that the game chromatic index of a k‐degenerate graph is at most Δ + 3k − 1, where Δ is the maximum vertex degree of the graph. We also show that the game chromatic index of a forest of maximum degree 3 is at most 4 when the forest contains an odd number of edges. © 2001 John Wiley & Sons, Inc. J Graph Theory 36: 144–155, 2001