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Motivated by a sampling problem basic to computational statistical inference, we develop a nearly optimal algorithm for a fundamental problem in spectral graph theory and numerical analysis. Given an $n\times n$ SDDM matrix ${\bf…

Data Structures and Algorithms · Computer Science 2014-10-21 Dehua Cheng , Yu Cheng , Yan Liu , Richard Peng , Shang-Hua Teng

We propose a notion of contraction function for a family of graphs and establish its connection to the strong spatial mixing for spin systems. More specifically, we show that for anti-ferromagnetic Potts model on families of graphs…

Data Structures and Algorithms · Computer Science 2015-07-28 Yitong Yin , Chihao Zhang

We give algorithms for approximating the partition function of the ferromagnetic $q$-color Potts model on graphs of maximum degree $d$. Our primary contribution is a fully polynomial-time approximation scheme for $d$-regular graphs with an…

Data Structures and Algorithms · Computer Science 2024-11-20 Charlie Carlson , Ewan Davies , Nicolas Fraiman , Alexandra Kolla , Aditya Potukuchi , Corrine Yap

With the current burst of network theory (especially in connection with social and biological networks) there is a renewed interest on realizations of given degree sequences. In this paper we propose an essentially new degree sequence…

Combinatorics · Mathematics 2015-07-14 Péter L. Erdös , Sándor Z. Kiss , István Miklós , Lajos Soukup

We give a fully polynomial-time approximation scheme (FPTAS) to count the number of independent sets on almost every $\Delta$-regular bipartite graph if $\Delta\ge 53$. In the weighted case, for all sufficiently large integers $\Delta$ and…

Data Structures and Algorithms · Computer Science 2019-03-19 Chao Liao , Jiabao Lin , Pinyan Lu , Zhenyu Mao

A $(p,q)$-coloring of a graph $G$ is an edge-coloring of $G$ which assigns at least $q$ colors to each $p$-clique. The problem of determining the minimum number of colors, $f(n,p,q)$, needed to give a $(p,q)$-coloring of the complete graph…

Combinatorics · Mathematics 2020-06-23 Alex Cameron , Emily Heath

Approximate random k-colouring of a graph G=(V,E) is a very well studied problem in computer science and statistical physics. It amounts to constructing a k-colouring of G which is distributed close to Gibbs distribution, i.e. the uniform…

Discrete Mathematics · Computer Science 2011-07-06 Charilaos Efthymiou

Given a graph $G$ and color set $\{1, \ldots, k\}$, a $\textit{proper coloring}$ is an assignment of a color to each vertex of $G$ such that no two vertices connected by an edge are given the same color. The problem of drawing a proper…

Computational Complexity · Computer Science 2020-06-11 Mark Huber

For fixed integers $p$ and $q$, let $f(n,p,q)$ denote the minimum number of colors needed to color all of the edges of the complete graph $K_n$ such that no clique of $p$ vertices spans fewer than $q$ distinct colors. Any edge-coloring with…

Combinatorics · Mathematics 2017-02-22 Alex Cameron , Emily Heath

We study the mixing properties of the single-site Markov chain known as the Glauber dynamics for sampling $k$-colorings of a sparse random graph $G(n,d/n)$ for constant $d$. The best known rapid mixing results for general graphs are in…

Discrete Mathematics · Computer Science 2017-07-13 Charilaos Efthymiou , Thomas P. Hayes , Daniel Stefankovic , Eric Vigoda

Recent developments in approximate counting have made startling progress in developing fast algorithmic methods for approximating the number of solutions to constraint satisfaction problems (CSPs) with large arities, using connections to…

Computational Complexity · Computer Science 2022-08-23 Andreas Galanis , Heng Guo , Jiaheng Wang

Sampling graph colorings via local Markov chains is a central problem in approximate counting and Markov chain Monte Carlo (MCMC). We address the problem of sampling a random $k$-coloring of a graph with maximum degree $\Delta$. The…

Data Structures and Algorithms · Computer Science 2026-04-15 Vishesh Jain , Clayton Mizgerd , Eric Vigoda

The number of proper $q$-colorings of a graph $G$, denoted by $P_G(q)$, is an important graph parameter that plays fundamental role in graph theory, computational complexity theory and other related fields. We study an old problem of Linial…

Combinatorics · Mathematics 2014-11-18 Jie Ma , Humberto Naves

We show that spin systems with bounded degrees and coupling independence admit fully polynomial time approximation schemes (FPTAS). We design a new recursive deterministic counting algorithm to achieve this. As applications, we give the…

Data Structures and Algorithms · Computer Science 2025-04-08 Xiaoyu Chen , Weiming Feng , Heng Guo , Xinyuan Zhang , Zongrui Zou

The Coupling from the Past (CFTP) paradigm is a canonical method for perfect sampling. For uniform sampling of proper $q$-colorings in graphs with maximum degree $\Delta$, the bounding chains of Huber (STOC 1998) provide a systematic…

Data Structures and Algorithms · Computer Science 2025-11-20 Tianxing Ding , Hongyang Liu , Yitong Yin , Can Zhou

A proper $q$-coloring of a graph is an assignment of one of $q$ colors to each vertex of the graph so that adjacent vertices are colored differently. Sample uniformly among all proper $q$-colorings of a large discrete cube in the integer…

Probability · Mathematics 2022-05-26 Ron Peled , Yinon Spinka

A $q$-\emph{equitable coloring} of a graph $G$ is a proper $q$-coloring such that the sizes of any two color classes differ by at most one. In contrast with ordinary coloring, a graph may have an equitable $q$-coloring but has no equitable…

Combinatorics · Mathematics 2015-08-19 Keaitsuda Maneeruk Nakprasit , Kittikorn Nakprasit

Graph coloring is one of the central problems in distributed graph algorithms. Much of the research on this topic has focused on coloring with $\Delta+1$ colors, where $\Delta$ denotes the maximum degree. Using $\Delta+1$ colors may be…

Data Structures and Algorithms · Computer Science 2017-08-24 Mohsen Ghaffari , Christiana Lymouri

In this paper we propose a deterministic algorithm for approximately counting the $k$-colourings of sparse random graphs $G(n,d/n)$. In particular, our algorithm computes in polynomial time a $(1\pm n^{-\Omega(1)})$approximation of the…

Discrete Mathematics · Computer Science 2020-08-12 Charilaos Efthymiou

The \emph{Square Colouring} of a graph $G$ refers to colouring of vertices of a graph such that any two distinct vertices which are at distance at most two receive different colours. In this paper, we initiate the study of a related…

Computational Complexity · Computer Science 2023-03-14 V P Abidha , Pradeesha Ashok , Avi Tomar , Dolly Yadav