APA (7th ed.) Citation

Yufeng Wang, Y. W., Min Yang, M. Y., Ruisong Gao, R. G., & Chuanjun Chen, C. C. (2023). PI-VEGAN: Physics Informed Variational Embedding Generative Adversarial Networks for Stochastic Differential Equations. Numerical Mathematics: Theory, Methods and Applications, 16(4), 931-953. https://doi.org/10.4208/nmtma.OA-2023-0044

Chicago Style (17th ed.) Citation

Yufeng Wang, Yufeng Wang, Min Yang Min Yang, Ruisong Gao Ruisong Gao, and Chuanjun Chen Chuanjun Chen. "PI-VEGAN: Physics Informed Variational Embedding Generative Adversarial Networks for Stochastic Differential Equations." Numerical Mathematics: Theory, Methods and Applications 16, no. 4 (2023): 931-953. https://doi.org/10.4208/nmtma.OA-2023-0044.

MLA (9th ed.) Citation

Yufeng Wang, Yufeng Wang, et al. "PI-VEGAN: Physics Informed Variational Embedding Generative Adversarial Networks for Stochastic Differential Equations." Numerical Mathematics: Theory, Methods and Applications, vol. 16, no. 4, 2023, pp. 931-953, https://doi.org/10.4208/nmtma.OA-2023-0044.