Search Results - computing system problems｜((_ algorithms) OR (((descent algorithm) OR (learning algorithms))))~ :: K.UTB vyhledávací portál

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A linearly convergent doubly stochastic Gauss–Seidel algorithm for solving linear equations and a certain class of over-parameterized optimization problems

by Razaviyayn, Meisam, Hong, Mingyi, Reyhanian, Navid, Luo, Zhi-Quan
Published in Mathematical programming (01.07.2019)

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Accelerated stochastic alternating mirror descent ascent algorithm for nonconvex-strongly concave minimax problems

by Zhao, Lulu, Liu, Yue, Liu, Yong-Jin
Published in Journal of applied mathematics & computing (01.10.2025)

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Coordinate descent algorithms

by Wright, Stephen J.
Published in Mathematical programming (01.06.2015)

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Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods

by Attouch, Hedy, Bolte, Jérôme, Svaiter, Benar Fux
Published in Mathematical programming (01.02.2013)

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A novel learning algorithm based on computing the rules’ desired outputs of a TSK fuzzy neural network with non-separable fuzzy rules

by Salimi-Badr, Armin, Ebadzadeh, Mohammad Mehdi
Published in Neurocomputing (Amsterdam) (22.01.2022)

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Efficient gradient descent algorithm with anderson acceleration for separable nonlinear models

by Chen, Guang-Yong, Lin, Xin, Xue, Peng, Gan, Min
Published in Nonlinear dynamics (01.05.2025)

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Dual subgradient algorithms for large-scale nonsmooth learning problems

by Cox, Bruce, Juditsky, Anatoli, Nemirovski, Arkadi
Published in Mathematical programming (01.12.2014)

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Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions

by Wang, Mengdi, Fang, Ethan X., Liu, Han
Published in Mathematical programming (01.01.2017)

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An alternating structure-adapted Bregman proximal gradient descent algorithm for constrained nonconvex nonsmooth optimization problems and its inertial variant

by Gao, Xue, Cai, Xingju, Wang, Xiangfeng, Han, Deren
Published in Journal of global optimization (01.09.2023)

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A Greedy Randomized Block Coordinate Descent Algorithm with k-means Clustering for Solving Large Linear Least-squares Problems

by Zhang, Ke, Liu, Chun-Ting, Jiang, Xiang-Long
Published in IAENG international journal of computer science (01.05.2024)

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A random coordinate descent algorithm for optimization problems with composite objective function and linear coupled constraints

by Necoara, Ion, Patrascu, Andrei
Published in Computational optimization and applications (01.03.2014)

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A Q-Learning-Based Brainstorming Optimization Algorithm for Solving Multimodal Optimization Problems

by Cheng, Shi, Jin, Honglin, Lu, Hui, Shi, Yuhui
Published in IEEE transactions on consumer electronics (01.05.2025)

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Distributed Communication-Sliding Mirror-Descent Algorithm for Nonsmooth Resource Allocation Problem

by Wang, Yinghui, Tu, Zhipeng, Qin, Huashu
Published in Journal of systems science and complexity (01.08.2022)

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GPUSGD: A GPU-accelerated stochastic gradient descent algorithm for matrix factorization

by Jin, Jing, Lai, Siyan, Hu, Su, Lin, Jing, Lin, Xiaola
Published in Concurrency and computation (25.09.2016)

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The ethics of algorithms: key problems and solutions

by Tsamados, Andreas, Aggarwal, Nikita, Cowls, Josh, Morley, Jessica, Roberts, Huw, Taddeo, Mariarosaria, Floridi, Luciano
Published in AI & society (01.03.2022)

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A novel differential dynamic gradient descent optimization algorithm for resource allocation and offloading in the COMEC system

by Chen, Miaojiang, Li, Zeyuan, Chen, Peipei, Liu, Wei, Liu, Anfeng
Published in International journal of intelligent systems (01.11.2022)

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A New Hybrid Descent Algorithm for Large-Scale Nonconvex Optimization and Application to Some Image Restoration Problems

by Wang, Shuai, Wang, Xiaoliang, Tian, Yuzhu, Pang, Liping
Published in Mathematics (Basel) (01.10.2024)

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Fine tuning Nesterov’s steepest descent algorithm for differentiable convex programming

by Gonzaga, Clóvis C., Karas, Elizabeth W.
Published in Mathematical programming (01.04.2013)

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A Review on Multi-Label Learning Algorithms

by Zhang, Min-Ling, Zhou, Zhi-Hua
Published in IEEE transactions on knowledge and data engineering (01.08.2014)

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An effective teaching–learning-based optimization algorithm for the flexible job-shop scheduling problem with fuzzy processing time

by Xu, Ye, Wang, Ling, Wang, Sheng-yao, Liu, Min
Published in Neurocomputing (Amsterdam) (19.01.2015)

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