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pro vyhledávání: '"Guo, Chenzheng"'
In this paper, for solving a broad class of large-scale nonconvex and nonsmooth optimization problems, we propose a stochastic two step inertial Bregman proximal alternating linearized minimization (STiBPALM) algorithm with variance-reduced stochasti
Externí odkaz:
http://arxiv.org/abs/2307.05287
Autor:
Guo, Chenzheng, Zhao, Jing
In this paper, we study an algorithm for solving a class of nonconvex and nonsmooth nonseparable optimization problems. Based on proximal alternating linearized minimization (PALM), we propose a new iterative algorithm which combines two-step inertia
Externí odkaz:
http://arxiv.org/abs/2306.07614
Autor:
Guo, Chenzheng, Zhao, Jing
In the paper, we introduce several accelerate iterative algorithms for solving the multiple-set split common fixed-point problem of quasi-nonexpansive operators in real Hilbert space. Based on primal-dual method, we construct several iterative algori
Externí odkaz:
http://arxiv.org/abs/2306.04208
Publikováno v:
Numerical Algorithms; Sep2024, Vol. 97 Issue 1, p51-100, 50p
Akademický článek
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