2D Random Approximation Method
J. Nonl. Mod. Anal., 3 (2021), pp. 431-446.
Published online: 2022-06
[An open-access article; the PDF is free to any online user.]
Cited by
Export citation
- BibTex
- RIS
- TXT
@Article{JNMA-3-431,
author = {Liu , Changan and Ouyang , Miao},
title = {2D Random Approximation Method},
journal = {Journal of Nonlinear Modeling and Analysis},
year = {2022},
volume = {3},
number = {3},
pages = {431--446},
abstract = {
H. Robbins and S. Monro studied the stochastic approximations of one-dimensional system. In this paper, we present the stochastic approximation method of 2D system.
}, issn = {2562-2862}, doi = {https://doi.org/10.12150/jnma.2021.431}, url = {http://global-sci.org/intro/article_detail/jnma/20673.html} }
TY - JOUR
T1 - 2D Random Approximation Method
AU - Liu , Changan
AU - Ouyang , Miao
JO - Journal of Nonlinear Modeling and Analysis
VL - 3
SP - 431
EP - 446
PY - 2022
DA - 2022/06
SN - 3
DO - http://doi.org/10.12150/jnma.2021.431
UR - https://global-sci.org/intro/article_detail/jnma/20673.html
KW - 2D systems, Stochastic approximation, Mathematical expectation, Convergence.
AB -
H. Robbins and S. Monro studied the stochastic approximations of one-dimensional system. In this paper, we present the stochastic approximation method of 2D system.
Changan Liu & Miao Ouyang. (2022). 2D Random Approximation Method.
Journal of Nonlinear Modeling and Analysis. 3 (3).
431-446.
doi:10.12150/jnma.2021.431
Copy to clipboard