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期刊论文 [102]
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Double Precision is not Necessary for LSQR for Solving Discrete Linear Ill-Posed Problems
期刊论文
OAI收割
JOURNAL OF SCIENTIFIC COMPUTING, 2024, 卷号: 98, 期号: 3, 页码: 30
作者:
Li, Haibo
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/05/20
Mixed precision
Linear ill-posed problem
Regularization
LSQR
Roundoff unit
Semi-convergence
A new super-predefined-time convergence and noise-tolerant RNN for solving time-variant linear matrix-vector inequality in noisy environment and its application to robot arm
期刊论文
OAI收割
NEURAL COMPUTING & APPLICATIONS, 2023, 页码: 17
作者:
Zheng, Boyu
;
Yue, Chong
;
Wang, Qianqian
;
Li, Chunquan
;
Zhang, Zhijun
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/02/22
Linear matrix-vector inequality
Recurrent neural network
Robustness
Time-variant problem
Convergence
Linear convergence of an alternating polar decomposition method for low rank orthogonal tensor approximations
期刊论文
OAI收割
MATHEMATICAL PROGRAMMING, 2022, 页码: 60
作者:
Hu, Shenglong
;
Ye, Ke
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收藏
  |  
浏览/下载:23/0
  |  
提交时间:2023/02/07
Orthogonally decomposable tensors
Low rank orthogonal tensor approximation
R-linear convergence
Sublinear convergence
Global convergence
Two-sample functional linear models with functional responses
期刊论文
OAI收割
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2022, 卷号: 218, 页码: 85-105
作者:
Xu, Wenchao
;
Lin, Hongmei
;
Zhang, Riquan
;
Liang, Hua
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2022/04/02
Asymptotic normality
Functional linear regression
Functional response
Functional principal component analysis
Rate of convergence
Semiparametric comparison
Distributed Optimization Design for Computation of Algebraic Riccati Inequalities
期刊论文
OAI收割
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 3, 页码: 1924-1935
作者:
Zeng, Xianlin
;
Chen, Jie
;
Hong, Yiguang
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收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/06/21
Linear matrix inequalities
Distributed algorithms
Optimization
Heuristic algorithms
Dynamical systems
Convergence
Multi-agent systems
Distributed algorithm
distributed optimization
matrix inequality
Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 587-599
作者:
Shi, Yang
;
Jin, Long
;
Li, Shuai
;
Li, Jian
;
Qiang, Jipeng
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收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/08/22
Mathematical model
Linear matrix inequalities
Numerical models
Computational modeling
Recurrent neural networks
Analytical models
Manipulators
Convergence
discrete-form time-variant multi-augmented Sylvester matrix problems
discrete-time recurrent neural networks (RNNs)
discretization formula
robot manipulator application
On Relaxed Greedy Randomized Augmented Kaczmarz Methods for Solving Large Sparse Inconsistent Linear Systems
期刊论文
OAI收割
EAST ASIAN JOURNAL ON APPLIED MATHEMATICS, 2021, 页码: 10
作者:
Bai, Zhong-Zhi
;
Wang, Lu
;
Muratova, Galina, V
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收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/04/02
System of linear equations
relaxation
augmented linear system
randomized Kaczmarz method
convergence property
Optimal rotated block-diagonal preconditioning for discretized optimal control problems constrained with fractional time-dependent diffusive equations
期刊论文
OAI收割
APPLIED NUMERICAL MATHEMATICS, 2021, 卷号: 163, 页码: 126-146
作者:
Bai, Zhong-Zhi
;
Lu, Kang-Ya
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收藏
  |  
浏览/下载:28/0
  |  
提交时间:2021/04/26
Fractional optimal control problem
Numerical discretizations
Block two-by-two linear system
Preconditioning
Spectral bounds
Krylov subspace iteration methods
Convergence property
An alpha -beta -Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences
期刊论文
OAI收割
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:
Shang, Mingsheng
;
Yuan, Ye
;
Luo, Xin
;
Zhou, MengChu
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2022/08/22
Computational modeling
Sparse matrices
Convergence
Data models
Predictive models
Linear programming
Euclidean distance
-divergence
big data
convergence analysis
high-dimensional and sparse (HiDS) data
momentum
machine learning
missing data estimation
non-negative latent factor analysis (NLFA)
recommender system (RS)
On convergence rate of the randomized Gauss-Seidel method
期刊论文
OAI收割
LINEAR ALGEBRA AND ITS APPLICATIONS, 2021, 卷号: 611, 页码: 237-252
作者:
Bai, Zhong-Zhi
;
Wang, Lu
;
Wu, Wen-Ting
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2021/04/26
System of linear equations
Randomized Gauss-Seidel method
Randomized Kaczmarz method
Convergence rate