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检索条件"主题词=Stochastic algorithm"
187 条 记 录,以下是41-50 订阅
排序:
stochastic Local Community Detection in Networks
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algorithmS 2023年 第1期16卷 22-22页
作者: Papei, Hadi Li, Yang Univ Western Ontario Dept Phys & Astron London ON 637 Canada Florida Atlantic Univ Dept Math Sci Boca Raton FL 33431 USA
We propose a stochastic agglomerative algorithm to detect the local community of some given seed vertex/vertices in a network. Instead of giving a deterministic binary local community in the output, our method assigns... 详细信息
来源: 评论
APC-SCA: A Fully-Parallel Annealing algorithm with Autonomous Pinning Effect Control  36
APC-SCA: A Fully-Parallel Annealing Algorithm with Autonomou...
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36th IEEE International Parallel and Distributed Processing Symposium (IEEE IPDPS)
作者: Okonogi, Daiki Jimbo, Satoru Ando, Kota Thiem Van Chu Yu, Jaehoon Motomura, Masato Kawamura, Kazushi Tokyo Inst Technol AI Comp Res Unit Yokohama Kanagawa Japan
Annealing computation has recently attracted attention as it can efficiently solve various combinatorial optimization problems using an Ising model. stochastic cellular automata annealing (SCA) is a promising algorith... 详细信息
来源: 评论
Gradient-free algorithm for saddle point problems under
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CHAOS SOLITONS & FRACTALS 2024年 185卷
作者: Statkevich, Ekaterina Bondar, Sofiya Dvinskikh, Darina Gasnikov, Alexander Lobanov, Aleksandr Moscow Inst Phys & Technol Dept Appl Math & Comp Sci Inst Sky Lane 9 Dolgoprudnyi 141701 Russia HSE Univ Myasnitskaya St 20 Moscow 101000 Russia Skolkovo Inst Sci & Technol Bolshoy Blvd 30P 1 Moscow 121205 Russia ISP RAS Res Ctr Trusted Artificial Intelligence Alexander Solzhenitsyn St 25 Moscow 109004 Russia
This paper focuses on solving a stochastic saddle point problem (SPP) under an overparameterized regime for the case, when the gradient computation is impractical. As an intermediate step, we generalize Same-sample St... 详细信息
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Can Gauss-Newton algorithms Outperform stochastic Optimization algorithms When Calibrating a Highly Parameterized Hydrological Model? A Case Study Using SWAT
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WATER RESOURCES RESEARCH 2022年 第11期58卷 e2021WR031532-e2021WR031532页
作者: Qin, Youwei Kavetski, Dmitri Kuczera, George McInerney, David Yang, Tao Guo, Yuan Hohai Univ State Key Lab Hydrol Water Resources & Hydraul En Nanjing Peoples R China Hohai Univ Yangtze Inst Conservat & Dev Nanjing Peoples R China Hohai Univ Coll Hydrol & Water Resources Nanjing Peoples R China Univ Adelaide Sch Civil Environm & Min Engn Adelaide SA Australia Univ Newcastle Sch Engn Callaghan NSW Australia
The calibration of highly parameterized hydrological models is a major computational challenge, especially for models with long run times. This challenge motivates the reconsideration of gradient-based algorithms ofte... 详细信息
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Energy optimization and digitization of the PV energy balance between production and consumption
e-Prime - Advances in Electrical Engineering, Electronics an...
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e-Prime - Advances in Electrical Engineering, Electronics and Energy 2025年 11卷
作者: Hraich, Abdellatif Haddi, Ali Laboratory of Industrial and Civil Sciences and Technologies (Lab STIC) ENSA University Abdelmalek Essaadi Tetouan Morocco
Smart grids integrate information technologies to enhance the management of renewable energy sources as well as managing the energy balance between production and consumption. Their design relies on efficiently contro... 详细信息
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Asynchronous parallel stochastic Quasi-Newton methods
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PARALLEL COMPUTING 2021年 101卷 102721-102721页
作者: Tong, Qianqian Liang, Guannan Cai, Xingyu Zhu, Chunjiang Bi, Jinbo Univ Connecticut Storrs CT 06269 USA Baidu USA Sunnyvale CA 94089 USA
Although first-order stochastic algorithms, such as stochastic gradient descent, have been the main force to scale up machine learning models, such as deep neural nets, the second-order quasi-Newton methods start to d... 详细信息
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Uniform-in-time estimates for mean-field type SDEs and applications
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Journal of Differential Equations 2025年 440卷
作者: Bao, Jianhai Hao, Jiaqing Center for Applied Mathematics Tianjin University Tianjin 300072 China
Via constructing an asymptotic coupling by reflection, in this paper we establish uniform-in-time estimates on probability distributions for mean-field type SDEs, where the drift terms under consideration are dissipat... 详细信息
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A New Response Surface stochastic Analysis Method for Spatial Structure Stability-The Reticulated Shell Structure as an Example
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BUILDINGS 2021年 第12期11卷 669页
作者: Liu, Huijuan Tondini, Nicola Lu, Xisen Chen, Chunxiang Xu, Zhonggen Guangxi Univ Coll Civil Engn & Architecture Guangxi Key Lab Disaster Prevent & Engn Safety Key Lab Disaster Prevent & Struct SafetyMinist E Nanning 530004 Peoples R China Univ Trento Dept Civil Environm & Mech Engn Via Mesiano 77 I-38123 Trento Italy Guangxi Univ Sch Math & Informat Sci Nanning 530004 Peoples R China Guangxi Univ Sch Mech Engn Nanning 530004 Peoples R China Guangzhou Univ Sch Civil Engn Guangzhou 510006 Peoples R China
For a long time, spatial structures have been widely used. However, compared with the high strength of their material, their stability is weak, and especially sensitive to damage and defects. This feature has increase... 详细信息
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Approximation of exit times for one-dimensional linear diffusion processes
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COMPUTERS & MATHEMATICS WITH APPLICATIONS 2020年 第6期80卷 1668-1682页
作者: Herrmann, Samuel Massin, Nicolas Univ Bourgogne Franche Comte CNRS UMR 5584 Inst Math Bourgogne IMB F-21000 Dijon France
In order to approximate the exit time of a one-dimensional diffusion process, we propose an algorithm based on a random walk. Such an algorithm was already introduced in both the Brownian context and the Ornstein-Uhle... 详细信息
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A stochastic Adaptive Radial Basis Function algorithm for Costly Black-Box Optimization
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Journal of the Operations Research Society of China 2018年 第4期6卷 587-609页
作者: Zhe Zhou Fu-Sheng Bai School of Mathematical Sciences Chongqing Normal UniversityChongqing 401331China
In this paper,we present a stochastic adaptive algorithm using radial basis function models for global optimization of costly black-box *** exploration radii in local searches are generated *** iteration point is sele... 详细信息
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