APA (7th ed.) Citation

Lam, X., Sun, D., & Toh, K. (2021). Semi-proximal Augmented Lagrangian-Based Decomposition Methods for Primal Block-Angular Convex Composite Quadratic Conic Programming Problems. INFORMS Journal on Optimization, 3(3), 254. https://doi.org/10.1287/ijoo.2019.0048

Chicago Style (17th ed.) Citation

Lam, Xin-Yee, Defeng Sun, and Kim-Chuan Toh. "Semi-proximal Augmented Lagrangian-Based Decomposition Methods for Primal Block-Angular Convex Composite Quadratic Conic Programming Problems." INFORMS Journal on Optimization 3, no. 3 (2021): 254. https://doi.org/10.1287/ijoo.2019.0048.

MLA (9th ed.) Citation

Lam, Xin-Yee, et al. "Semi-proximal Augmented Lagrangian-Based Decomposition Methods for Primal Block-Angular Convex Composite Quadratic Conic Programming Problems." INFORMS Journal on Optimization, vol. 3, no. 3, 2021, p. 254, https://doi.org/10.1287/ijoo.2019.0048.

Warning: These citations may not always be 100% accurate.