Cite
Polyak's Method Based on the Stochastic Lyapunov Function for Justifying the Consistency of Estimates Produced by a Stochastic Approximation Search Algorithm under an Unknown-but-Bounded Noise.
MLA
Granichin, O. N., et al. “Polyak’s Method Based on the Stochastic Lyapunov Function for Justifying the Consistency of Estimates Produced by a Stochastic Approximation Search Algorithm under an Unknown-but-Bounded Noise.” Computational Mathematics & Mathematical Physics, vol. 64, no. 4, Apr. 2024, pp. 771–80. EBSCOhost, https://doi.org/10.1134/S096554252470012X.
APA
Granichin, O. N., Ivanskii, Y. V., & Kopylova, K. D. (2024). Polyak’s Method Based on the Stochastic Lyapunov Function for Justifying the Consistency of Estimates Produced by a Stochastic Approximation Search Algorithm under an Unknown-but-Bounded Noise. Computational Mathematics & Mathematical Physics, 64(4), 771–780. https://doi.org/10.1134/S096554252470012X
Chicago
Granichin, O. N., Yu. V. Ivanskii, and K. D. Kopylova. 2024. “Polyak’s Method Based on the Stochastic Lyapunov Function for Justifying the Consistency of Estimates Produced by a Stochastic Approximation Search Algorithm under an Unknown-but-Bounded Noise.” Computational Mathematics & Mathematical Physics 64 (4): 771–80. doi:10.1134/S096554252470012X.