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检索条件"机构=Applied Mathematics & Statistics and Scientific Computing Program"
230 条 记 录,以下是71-80 订阅
排序:
Multilevel-in-Layer Training for Deep Neural Network Regression
arXiv
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arXiv 2022年
作者: Ponce, Colin Mao, Christina Li, Ruipeng Vassilevski, Panayot Center for Applied Scientific Computing Lawrence Livermore National Laboratory United States Global Security Computing Applications Division Lawrence Livermore National Laboratory United States Fariborz Maseeh Department of Mathematics Statistics Portland State University United States
A common challenge in regression is that for many problems, the degrees of freedom required for a high-quality solution also allows for overfitting. Regularization is a class of strategies that seek to restrict the ra... 详细信息
来源: 评论
Rectangular multiple-relaxation-time lattice Boltzmann method for the Navier-Stokes and nonlinear convection-diffusion equations: General equilibrium and some important issues
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Physical Review E 2023年 第1期108卷 015304-015304页
作者: Zhenhua Chai (柴振华) Xiaolei Yuan (袁晓垒) Baochang Shi (施保昌) School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan 430074 China Institute of Interdisciplinary Research for Mathematics and Applied Science Huazhong University of Science and Technology Wuhan 430074 China Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan 430074 China College of Mathematics and Information Science Hebei University Baoding 071002 China
In this paper, we develop a general rectangular multiple-relaxation-time lattice Boltzmann (RMRT-LB) method for the Navier-Stokes equations (NSEs) and nonlinear convection-diffusion equation (NCDE) by extending our re... 详细信息
来源: 评论
Characterizations of stabilizable sets for some parabolic equations in Rn
arXiv
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arXiv 2020年
作者: Huang, Shanlin Wang, Gengsheng Wang, Ming School of Mathematics and Statistics Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan430074 China Center for Applied Mathematics Tianjin University Tianjin300072 China School of Mathematics and Physics China University of Geosciences Wuhan430074 China
We consider the parabolic type equation in Rn: (∂t + H)y(t, x) = 0, (t, x) ∈ (0, ∞) × Rn;y(0, x) ∈ L2(Rn), (0.1) where H can be one of the following operators: (i) a shifted fractional Laplacian;(ii) a shifted... 详细信息
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OBSERVABLE SETS, POTENTIALS AND SCHRÖDINGER EQUATIONS
arXiv
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arXiv 2020年
作者: Huang, Shanlin Wang, Gengsheng Wang, Ming School of Mathematics and Statistics Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan430074 China Center for Applied Mathematics Tianjin University Tianjin300072 China School of Mathematics and Physics China University of Geosciences Wuhan430074 China
We characterize observable sets for 1-dim Schrödinger equations in R: i∂tu = (−∂2x + x2m)u (with m ∈ N:= {0, 1, . . . }). More precisely, we obtain what follows: First, when m = 0, E ⊂ R is an observable set at ...
来源: 评论
Characterization of the most probable transition paths of stochastic dynamical systems with stable Lévy noise
arXiv
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arXiv 2018年
作者: Huang, Yuanfei Chao, Ying Yuan, Shenglan Duan, Jinqiao School of Mathematics and Statistics Center for Mathematical Sciences Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan430074 China Department of Applied Mathematics Illinois Institute of Technology ChicagoIL60616 United States
This work is devoted to the investigation of the most probable transition path for stochastic dynamical systems driven by either symmetric α-stable Lévy motion (0 Copyright © 2018, The Authors. All rights r... 详细信息
来源: 评论
The role of slow manifolds in parameter estimation for a multiscale stochastic system with α-stable Lévy noise
arXiv
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arXiv 2020年
作者: Chao, Ying Wei, Pingyuan Duan, Jinqiao School of Mathematics and Statistics Center for Mathematical Sciences Hubei Key Laboratory for Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan430074 China Department of Applied Mathematics Illinois Institute of Technology ChicagoIL60616 United States
This work is about parameter estimation for a fast-slow stochastic system with non-Gaussian α-stable Lévy noise. When the observations are only available for slow components, a system parameter is estimated and ... 详细信息
来源: 评论
The Onsager-Machlup Function as Lagrangian for the Most Probable Path of a Jump-Diffusion Process
arXiv
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arXiv 2018年
作者: Chao, Ying Duan, Jinqiao School of Mathematics and Statistics Center for Mathematical Sciences Hubei Key Laboratory for Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan430074 China Department of Applied Mathematics Illinois Institute of Technology ChicagoIL60616 United States
This work is devoted to deriving the Onsager-Machlup function for a class of stochastic dynamical systems under (non-Gaussian) Lévy noise as well as (Gaussian) Brownian noise, and examining the corresponding most... 详细信息
来源: 评论
Topology optimization including a model of the layer-by-layer additive manufacturing process
arXiv
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arXiv 2022年
作者: Haveroth, Geovane A. Thore, C.-J. Correa, M.R. Ausas, R.F. Jakobsson, S. Cuminato, J.A. Klarbring, A. Department of Applied Mathematics and Statistics Institute of Mathematics and Computer Sciences University of São Paulo SP São Carlos Brazil Division of Solid Mechanics Department of Management and Engineering Institute of Technology Linköping University Linköping581 83 Sweden Arcam EBM Mölndal Sweden Department of Applied Mathematics Institute of Mathematics Statistics and Scientific Computing University of Campinas Campinas-SP Brazil
A topology optimization formulation including a model of the layer-by-layer additive manufacturing (AM) process is considered. Defined as a multi-objective minimization problem, the formulation accounts for the perfor... 详细信息
来源: 评论
A parameter estimator based on Smoluchowski-Kramers approximation 1
arXiv
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arXiv 2018年
作者: He, Ziying Duan, Jinqiao Cheng, Xiujun Center for Mathematical Sciences School of Mathematics and Statistics Hubei Key Laboratory for Engineering Modeling and Scientific Computing Huazhong University of Sciences and Technology Wuhan430074 China Department of Applied Mathematics Illinois Institute of Technology ChicagoIL60616 United States
We devise a simplified parameter estimator for a second order stochastic differential equation by a first order system based on the Smoluchowski-Kramers approximation. We establish the consistency of the estimator by ... 详细信息
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Vaccine efficacy and SARS-CoV-2 control in California and *** the session 2020e2026:A modeling study
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Infectious Disease Modelling 2022年 第1期7卷 62-81页
作者: Md Shahriar Mahmud Md Kamrujjaman Md Mashih Ibn Yasin Adan Md Alamgir Hossain Md Mizanur Rahman Md Shahidul Islam Muhammad Mohebujjaman Md Mamun Molla Department of Computer Science and Engineering State University of BangladeshDhaka1205Bangladesh Department of Mathematics University of DhakaDhaka1000Bangladesh Department of Mathematics and Statistics University of CalgaryCalgaryABCanada Computational Biology Research Lab(CBRL) Department of PharmacyJagannath UniversityDhaka1100Bangladesh Hitotsubashi Institute for Advanced Study Hitotsubashi UniversityNaka KunitachiTokyo186-8601Japan Department of Mathematics and Physics Texas A&M International UniversityLaredoTX78041USA Department of Mathematics&Physics North South UniversityDhaka1229Bangladesh Center for Applied Scientific Computing(CASC) North South UniversityDhaka1229Bangladesh
Background:Besides maintaining health precautions,vaccination has been the only prevention from SARS-CoV-2,though no clinically proved 100%effective vaccine has been developed till *** this stage,to withhold the debri... 详细信息
来源: 评论