Suchergebnisse - Parallel subgradient algorithm

Pairwise Optimal Weight Realization-Acceleration Technique for Set-Theoretic Adaptive Parallel Subgradient Projection Algorithm von Yukawa, M., Yamada, I.

“… The adaptive parallel subgradient projection (PSP) algorithm was proposed in 2002 as a set-theoretic adaptive filtering algorithm providing fast and stable …”
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Parallel subgradient algorithm with block dual decomposition for large-scale optimization von Zheng, Yuchen, Xie, Yujia, Lee, Ilbin, Dehghanian, Amin, Serban, Nicoleta

“… •Trade-off between minimizing the number of dualized constraints and detecting a structure amenable to parallel optimization …”
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A parallel subgradient projection algorithm for quasiconvex equilibrium problems under the intersection of convex sets von Yen, Le Hai, Muu, Le Dung

“… We propose a projection algorithm, where the projection can be computed independently onto each component set …”
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Non-monotonous accelerated parallel subgradient projection algorithm for convex feasibility problem von Dang, Yazheng, Gao, Yan

“… -monotonous parallel subgradient projection algorithm for solving CFP. Under some mild conditions, the convergence is shown …”
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An efficient robust adaptive filtering algorithm based on parallel subgradient projection techniques von Yamada, I., Slavakis, K., Yamada, K.

“… ). The proposed adaptive algorithm is computationally efficient and robust to noise because it requires only an iterative parallel projection onto a series of closed half spaces that are highly expected …”
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Robust Reduced-Rank Adaptive Algorithm Based on Parallel Subgradient Projection and Krylov Subspace von Yukawa, M., de Lamare, R.C., Yamada, I.

“… In this paper, we propose a novel reduced-rank adaptive filtering algorithm exploiting the Krylov subspace associated with estimates of certain statistics of input and output signals …”
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Incremental and Parallel Machine Learning Algorithms With Automated Learning Rate Adjustments von Hishinuma, Kazuhiro, Iiduka, Hideaki

“… ; the other is based on the parallel subgradient algorithm, which uses parts independently in parallel …”
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Modified inertial subgradient extragradient with auxiliary parameters and parallel viscosity algorithm for minimization problem induced by bounded linear operator over common solution of fixed points of nonexpansive mappings and pseudomonotone equilibrium problems von Khonchaliew, M., Khamdam, K., Petrot, N., Plubtieng, S.

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A parallel subgradient projection algorithm for quasiconvex equilibrium problems under the intersection of convex sets von Le Hai Yen, Le Dung Muu

“… We propose a projection-algorithm, where the projection can be computed independently onto each component set …”
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Parallel computing subgradient method for nonsmooth convex optimization over the intersection of fixed point sets of nonexpansive mappings von Iiduka, Hideaki

“… Nonsmooth convex optimization problems are solved over fixed point sets of nonexpansive mappings by using a distributed optimization technique. This is done …”
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Adaptive quadratic-metric parallel subgradient projection algorithm and its application to acoustic echo cancellation von Yukawa, Masahiro, Yamada, Isao

“… Adaptive Projected Subgradient Method (APSM) serves as a unified guiding principle of various set-theoretic adaptive filtering algorithms including NLMS/APA …”
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Blind Multiple Access Interference Suppression Algorithm Based on Relaxed Subgradient Projection for DS/CDMA Systems von Wei, Xin, Zhao, Li, Zou, Cairong

“… A novel blind multiple access interference suppression algorithm based on relaxed parallel subgradient projection is proposed for DS/CDMA systems. The qualification “relaxed …”
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Parallel Subgradient-like Extragradient Approaches for Variational Inequality and Fixed-Point Problems with Bregman Relatively Asymptotical Nonexpansivity von Ceng, Lu-Chuan, Cui, Yun-Ling, Cao, Sheng-Long, Li, Bing, Wang, Cong-Shan, Hu, Hui-Ying

“… This article designs two parallel subgradient-like extragradient algorithms with an inertial effect for solving this pair of VIFPPs, where each algorithm consists of two parts which are of …”
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New subgradient extragradient methods for common solutions to equilibrium problems von Van Hieu, Dang

“… In this paper, three parallel hybrid subgradient extragradient algorithms are proposed for finding a common solution of a finite family of equilibrium problems in Hilbert spaces …”
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Dynamic Prediction Research of Silicon Content in Hot Metal Driven by Big Data in Blast Furnace Smelting Process under Hadoop Cloud Platform von Liu, Wei-Xing, Yang, Xiao-Lei, Li, Jie, Han, Yang, Zhang, Yu-Zhu

“… Secondly, based on the characteristics of stochastic subgradient projection, the execution time of the SVM solver algorithm does not depend on the size of the sample set, and a structured SVM …”
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Set-theoretic adaptive filtering based on data-driven sparsification von Yukawa, Masahiro, Yamada, Isao

“… In this article, we propose a fast and efficient algorithm named the adaptive parallel Krylov …”
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A parallel subgradient method extended to variational inequalities involving nonexpansive mappings von Anh, Pham Ngoc, Hien, Nguyen Duc, Phuong, Ngo Xuan

“… set of a finite system of nonexpansive mappings in a real Hilbert space. The idea of this algorithm is to combine the subgradient method with the parallel splitting-up techniques …”
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On the Parallel Subgradient Extragradient Rule for Solving Systems of Variational Inequalities in Hadamard Manifolds von Wang, Chun-Yan, Ceng, Lu-Chuan, He, Long, Hu, Hui-Ying, Zhao, Tu-Yan, Wang, Dan-Qiong, Fan, Hong-Ling

“… which are of symmetric structure mutually. This article designs two parallel algorithms to solve the SVI via the subgradient extragradient approach, where each algorithm consists of two parts which are of symmetric structure mutually …”
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Parallel and cyclic hybrid subgradient extragradient methods for variational inequalities von Hieu, Dang Van

“… ). The first is a parallel algorithm which can be performed simultaneously while the second is a cyclic algorithm which is computed sequentially on each subproblem in the family …”
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Steady-State Mean-Square Performance Analysis of a Relaxed Set-Membership NLMS Algorithm by the Energy Conservation Argument von Takahashi, N., Yamada, I.

“… ) algorithm and a special case of the adaptive parallel subgradient projection (PSP) algorithm. The approach of the paper is to employ the energy conservation relation as a starting point of our analysis …”
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