APA (7th ed.) Citation

Yang, Z., & Lin, G. (2022). Two fast variance-reduced proximal gradient algorithms for SMVIPs-Stochastic Mixed Variational Inequality Problems with suitable applications to stochastic network games and traffic assignment problems. Journal of computational and applied mathematics, 408, 114132. https://doi.org/10.1016/j.cam.2022.114132

Chicago Style (17th ed.) Citation

Yang, Zhen-Ping, and Gui-Hua Lin. "Two Fast Variance-reduced Proximal Gradient Algorithms for SMVIPs-Stochastic Mixed Variational Inequality Problems with Suitable Applications to Stochastic Network Games and Traffic Assignment Problems." Journal of Computational and Applied Mathematics 408 (2022): 114132. https://doi.org/10.1016/j.cam.2022.114132.

MLA (9th ed.) Citation

Yang, Zhen-Ping, and Gui-Hua Lin. "Two Fast Variance-reduced Proximal Gradient Algorithms for SMVIPs-Stochastic Mixed Variational Inequality Problems with Suitable Applications to Stochastic Network Games and Traffic Assignment Problems." Journal of Computational and Applied Mathematics, vol. 408, 2022, p. 114132, https://doi.org/10.1016/j.cam.2022.114132.