Annealing diffusions in a potential function with a slow growth

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Zitt, Pierre-André. “Annealing Diffusions in a Potential Function With a Slow Growth”. Stochastic Processes and Their Applications, vol. 118, no. 1, 2008, pp. 76-119, https://doi.org/10.1016/j.spa.2007.04.002.
Zitt, P.-A. (2008). Annealing diffusions in a potential function with a slow growth. Stochastic Processes and Their Applications, 118(1), 76-119. https://doi.org/10.1016/j.spa.2007.04.002
Zitt, Pierre-André. “Annealing Diffusions in a Potential Function With a Slow Growth”. Stochastic Processes and Their Applications 118, no. 1 (2008): 76-119. https://doi.org/10.1016/j.spa.2007.04.002.
Zitt PA. Annealing diffusions in a potential function with a slow growth. Stochastic Processes and their Applications. 2008;118(1):76-119.
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Science: Mathematics19
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Citations
Title Journal Journal Categories Citations Publication Date
Convergence of Langevin-simulated annealing algorithms with multiplicative noise

 Mathematics of Computation
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
 1 2024
Convergence of the kinetic annealing for general potentials Electronic Journal of Probability
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 1 2022
On the simulated annealing in Rd Journal of Functional Analysis
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Simulated annealing in Rd with slowly growing potentials Stochastic Processes and their Applications
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 4 2021
Subexponential decay in kinetic Fokker–Planck equation: Weak hypocoercivity Bernoulli
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Citations Analysis
Category Category Repetition
Science: Mathematics9
Science: Mathematics: Probabilities. Mathematical statistics5
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods1
The category Science: Mathematics 9 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Rate of convergence for ergodic continuous Markov processes: Lyapunov versus Poincaré and was published in 2008. The most recent citation comes from a 2024 study titled Convergence of Langevin-simulated annealing algorithms with multiplicative noise. This article reached its peak citation in 2021, with 2 citations. It has been cited in 8 different journals. Among related journals, the Journal of Functional Analysis cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year