On the Multidimensional Limit Theorem for Endomorphisms of the Euclidean Space by F.G. Gabbasov, V.T. Dubrovin, V.S. Kugurakov

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A new preconditioned Richardson iterative method by Hassan Jamali, Reza Pourkani

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A Novel Sine Step Size for Warm-Restart Stochastic Gradient Descent by Mahsa Soheil Shamaee, Sajad Fathi Hafshejani

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FedRecI2C: A Novel Federated Recommendation Framework Integrating Communication and Computation to Accelerate Convergence Under Communication Constraints by Qizhong Zheng, Xiujie Huang

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Gradient Method with Step Adaptation by Vladimir Krutikov, Elena Tovbis, Svetlana Gutova, Ivan Rozhnov, Lev Kazakovtsev

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Distributed Constrained Optimization Algorithms for Drones by Hongzhe Liu

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A New Varying-Factor Finite-Time Recurrent Neural Network to Solve the Time-Varying Sylvester Equation Online by Haoming Tan, Junyun Wu, Hongjie Guan, Zhijun Zhang, Ling Tao, Qingmin Zhao, Chunquan Li

Subjects: “…super-exponential convergence rate…”
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Convergence Rates of Gradient Methods for Convex Optimization in the Space of Measures by Chizat, Lénaïc

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Stochastic Gradient Descent for Kernel-Based Maximum Correntropy Criterion by Tiankai Li, Baobin Wang, Chaoquan Peng, Hong Yin

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CONVERGENCE RATE OF THE PHAM DINH-L E THI'S ALGORITHM FOR THE TRUST-REGION SUBPROBLEM by Hoàng Ngọc Tuấn

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A Double-Parameter Regularization Scheme for the Backward Diffusion Problem with a Time-Fractional Derivative by Qun Chen, Zewen Wang

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Convergence rate sliding mode control of permanent magnet synchronous motor based on expanded sliding mode observer by Li Tian, Qingrui Wei, Qiang Zheng, Hailong Li

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Efficient Newton-Type Solvers Based on for Finding the Solution of Nonlinear Algebraic Problems by Haifa Bin Jebreen, Hongzhou Wang, Yurilev Chalco-Cano

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Comparison of the efficiency of zero and first order minimization methods in neural networks by E. A. Gubareva, S. I. Khashin, E. S. Shemyakova

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Variance Reduction Optimization Algorithm Based on Random Sampling by GUO Zhenhua, YAN Ruidong, QIU Zhiyong, ZHAO Yaqian, LI Rengang

Subjects: “…stochastic gradient descent; variance reduction; convex optimization; non-convex optimization; convergence rate…”
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Global exponential convergence of delayed inertial Cohen–Grossberg neural networks by Yanqiu Wu, Nina Dai, Zhengwen Tu, Liangwei Wang, Qian Tang

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An S-Hybridization Technique Using Two-Directional Optimization by Vladimir Rakočević, Milena J. Petrović

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High Precision and Fast Inversion of Array Lateral Logging Based on BAS-LM Algorithm by NI Xiaowei, HUAN Zhipeng, XU Sihui, ZHAO Zhaoxia, CHEN Zhanglong, CHEN Jisheng

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A mesh method for solving fourth-order quasilinear elliptic equations by M.M. Karchevsky

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A continuous-time primal-dual algorithm with convergence speed guarantee utilizing constraint-based control by Taichi Tanaka, Shunta Nakayama, Yasuaki Wasa, Kenji Hirata, Takeshi Hatanaka

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