Analyzing Glauber dynamics by comparison of Markov chains

Article Properties
  • Language
    English
  • DOI (url)
  • Publication Date
    2000/03/01
  • Indian UGC (journal)
  • Refrences
    39
  • Citations
    46
  • Dana Randall College of Computing and School of Mathematics, Georgia Institute of Technology, Atlanta Georgia 30332
  • Prasad Tetali School of Mathematics, Georgia Institute of Technology, Atlanta, Georgia 30332
Abstract
Cite
Randall, Dana, and Prasad Tetali. “Analyzing Glauber Dynamics by Comparison of Markov Chains”. Journal of Mathematical Physics, vol. 41, no. 3, 2000, pp. 1598-15, https://doi.org/10.1063/1.533199.
Randall, D., & Tetali, P. (2000). Analyzing Glauber dynamics by comparison of Markov chains. Journal of Mathematical Physics, 41(3), 1598-1615. https://doi.org/10.1063/1.533199
Randall D, Tetali P. Analyzing Glauber dynamics by comparison of Markov chains. Journal of Mathematical Physics. 2000;41(3):1598-615.
Refrences
Title Journal Journal Categories Citations Publication Date
Random sampling for the monomer–dimer model on a lattice

Journal of Mathematical Physics
  • Science: Mathematics
  • Science: Physics
7 2000
Fast convergence of the Glauber dynamics for sampling independent sets 1999
Lectures on finite Markov chains 1997
Approximating the number of dimer coverings of a lattice 1996
A very simple algorithm for estimating the number of k‐colorings of a low‐degree graph

Random Structures & Algorithms
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
104 1995
Citations
Title Journal Journal Categories Citations Publication Date
Rapid Mixing of \({\boldsymbol{k}}\)-Class Biased Permutations SIAM Journal on Discrete Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
2024
Fluctuation of the phase boundary in the six-vertex model with domain wall boundary conditions: a Monte Carlo study

Journal of Physics A: Mathematical and Theoretical
  • Science: Physics
  • Science: Mathematics
  • Science: Physics
1 2023
Critical dynamical behavior of the Ising model Physical Review E
  • Science: Physics: Electricity and magnetism: Electricity: Plasma physics. Ionized gases
  • Science: Mathematics
  • Science: Chemistry: Physical and theoretical chemistry
  • Science: Physics
2023
Mixing times of Markov chains for self‐organizing lists and biased permutations

Random Structures & Algorithms
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
2022
Sharp Poincaré and log-Sobolev inequalities for the switch chain on regular bipartite graphs Probability Theory and Related Fields
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
1 2022
Citations Analysis
The category Science: Mathematics 32 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Markov Chain Algorithms for Planar Lattice Structures and was published in 2001. The most recent citation comes from a 2024 study titled Rapid Mixing of \({\boldsymbol{k}}\)-Class Biased Permutations. This article reached its peak citation in 2004, with 4 citations. It has been cited in 25 different journals. Among related journals, the Random Structures & Algorithms cited this research the most, with 9 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year