American Psychological Association 6th edition

Lu-Jing Huang, & Jian Wang. (2025). Convergence rates for inhomogeneous Markov chains from stochastic approximation algorithms. Discrete and Continuous Dynamical Systems - S, 18, 2717-2751. https://doi.org/10.3934/dcdss.2025060

ISO-690 (author-date, English)

LU-JING HUANG und JIAN WANG, 2025. Convergence rates for inhomogeneous Markov chains from stochastic approximation algorithms. Discrete and Continuous Dynamical Systems - S. 1 Januar 2025. Vol. 18, , p. 2717-2751. DOI 10.3934/dcdss.2025060.

Modern Language Association 9th edition

Lu-Jing Huang, und Jian Wang. „Convergence Rates for Inhomogeneous Markov Chains from Stochastic Approximation Algorithms“. Discrete and Continuous Dynamical Systems - S, Bd. 18, Januar 2025, S. 2717-51, https://doi.org/10.3934/dcdss.2025060.

Mohr Siebeck - Recht (Deutsch - Österreich)

Lu-Jing Huang/Jian Wang: Convergence rates for inhomogeneous Markov chains from stochastic approximation algorithms, Discrete and Continuous Dynamical Systems - S 2025, 2717-2751.

Emerald - Harvard

Lu-Jing Huang und Jian Wang. (2025), „Convergence rates for inhomogeneous Markov chains from stochastic approximation algorithms“, Discrete and Continuous Dynamical Systems - S, Vol. 18, S. 2717-2751.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.