APA (7th ed.) Citation

Jia, Z., Hou, J., Dong, P., & Liu, Z. (2026). A fast computational Gauss–Seidel type iPALM algorithm using an incremental aggregated gradient strategy for weakly convex composite optimization problems with application in image processing. Journal of computational and applied mathematics, 474, 116973. https://doi.org/10.1016/j.cam.2025.116973

Chicago Style (17th ed.) Citation

Jia, Zehui, Junru Hou, Ping Dong, and Zhiyu Liu. "A Fast Computational Gauss–Seidel Type IPALM Algorithm Using an Incremental Aggregated Gradient Strategy for Weakly Convex Composite Optimization Problems with Application in Image Processing." Journal of Computational and Applied Mathematics 474 (2026): 116973. https://doi.org/10.1016/j.cam.2025.116973.

MLA (9th ed.) Citation

Jia, Zehui, et al. "A Fast Computational Gauss–Seidel Type IPALM Algorithm Using an Incremental Aggregated Gradient Strategy for Weakly Convex Composite Optimization Problems with Application in Image Processing." Journal of Computational and Applied Mathematics, vol. 474, 2026, p. 116973, https://doi.org/10.1016/j.cam.2025.116973.