FPRAS for the Potts Model and the Number of k-colorings

02/25/2019
by   Zonglei Bai, et al.
0

In this paper, we give a sampling algorithm for the Potts model using Markov chains. Based on the sampling algorithm, we give FPRASes for the Potts model and the number of k-colorings of the graph.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/29/2019

Jump Markov Chains and Rejection-Free Metropolis Algorithms

We consider versions of the Metropolis algorithm which avoid the ineffic...
research
05/26/2023

Irreducibility of Recombination Markov Chains in the Triangular Lattice

In the United States, regions are frequently divided into districts for ...
research
02/09/2023

Learning Mixtures of Markov Chains with Quality Guarantees

A large number of modern applications ranging from listening songs onlin...
research
12/21/2019

Exploring TD error as a heuristic for σ selection in Q(σ, λ)

In the landscape of TD algorithms, the Q(σ, λ) algorithm is an algorithm...
research
03/13/2021

SMOTE-ENC: A novel SMOTE-based method to generate synthetic data for nominal and continuous features

Real world datasets are heavily skewed where some classes are significan...
research
11/12/2017

Quickest Detection of Markov Networks

Detecting correlation structures in large networks arises in many domain...
research
03/05/2023

Exact Distributed Sampling

Fast distributed algorithms that output a feasible solution for constrai...

Please sign up or login with your details

Forgot password? Click here to reset