A Modified Regularization Method for the Proximal Point Algorithm

Yang, C. H., Chen, S. L., Dai, Q. Y., Liu, Y. H., & Chen, D. F. (2016). A SOFTWARE RELIABILITY PREDICTION BASED ON RBM ALGORITHM IMPROVEMENT METHOD. 電機工程學刊, 23(3), 105-112. https://doi.org/10.6329/CIEE.2016.3.02
Tian, M., & Gong, J. Y. (2014). Strong Convergence of Modified Algorithms Based on the Regularization for the Constrained Convex Minimization Problem. Abstract and Applied Analysis, 2014(), 928-936-1489. https://doi.org/10.1155/2014/870102
Li, M., & You, Y. (2013). Convergence Analysis of the Relaxed Proximal Point Algorithm. Abstract and Applied Analysis, 2013(), 643-648-1258. https://doi.org/10.1155/2013/912846
Hou, X. P., Shen, P. P., & Chen, Y. Q. (2014). A Global Optimization Algorithm for Signomial Geometric Programming Problem. Abstract and Applied Analysis, 2014(), 81-92-109. https://doi.org/10.1155/2014/163263
HAŃĆKOWIAK, J. (1999). Some Insights into the Regularization of III-posed Problems. Mathematical Problems in Engineering, 1999(), 161-171. https://doi.org/10.1155/S1024123X99001040