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-Zitierstil (17. Ausg.)Jia, Zehui, Junru Hou, Ping Dong, und 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-Zitierstil (9. Ausg.)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.