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中国科学院数学与系统科学研究院机构知识库
KMS Of Academy of mathematics and systems sciences, CAS
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Frequency response-based decoupling tuning for feedforward compensation ADRC of distributed parameter systems
期刊论文
CONTROL ENGINEERING PRACTICE, 2022, 卷号: 126, 页码: 11
作者:
Liu, Shaojie
;
Zhang, Yu-Long
;
Xue, Wenchao
;
Shi, Gengjin
;
Zhu, Min
;
Li, Donghai
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  |  
浏览/下载:130/0
  |  
提交时间:2023/02/07
Distributed parameter systems
Two-degree-of-freedom control
Active disturbance rejection control
Frequency response-based tuning
Feedforward compensation
Nyquist criterion
Monte Carlo method
Control of water channel
Control of magnetic levitation
A spectral method for stochastic fractional PDEs using dynamically-orthogonal/bi-orthogonal decomposition
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 461, 页码: 17
作者:
Zhao, Yue
;
Mao, Zhiping
;
Guo, Ling
;
Tang, Yifa
;
Karniadakis, George Em
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  |  
浏览/下载:94/0
  |  
提交时间:2023/02/07
Uncertainty quantification
Anomalous transport
Quasi Monte Carlo simulation
Generalized polynomial chaos
Long-time integration
Poly-fractonomials
AN EFFICIENT MULTIMODES MONTE CARLO HOMOGENIZATION METHOD FOR RANDOM MATERIALS
期刊论文
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2022, 卷号: 44, 期号: 3, 页码: A1752-A1774
作者:
Yang, Zihao
;
Huang, Jizu
;
Feng, Xiaobing
;
Guan, Xiaofei
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浏览/下载:84/0
  |  
提交时间:2023/02/07
stochastic homogenization
multimodes Monte Carlo method
finite element method
convergence and error estimates
random composite materials
AN ACCELERATION STRATEGY FOR RANDOMIZE-THEN-OPTIMIZE SAMPLING VIA DEEP NEURAL NETWORKS*
期刊论文
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2021, 卷号: 39, 期号: 6, 页码: 848-864
作者:
Yan, Liang
;
Zhou, Tao
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  |  
浏览/下载:161/0
  |  
提交时间:2022/04/02
Bayesian inverse problems
Deep neural network
Markov chain Monte Carlo
An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems
期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2020, 卷号: 28, 期号: 5, 页码: 2180-2205
作者:
Yan, Liang
;
Zhou, Tao
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浏览/下载:173/0
  |  
提交时间:2021/01/14
Bayesian inverse problems
deep neural networks
multi-fidelity surrogate modeling
Markov chain Monte Carlo
Drift-preserving numerical integrators for stochastic Hamiltonian systems
期刊论文
ADVANCES IN COMPUTATIONAL MATHEMATICS, 2020, 卷号: 46, 期号: 2, 页码: 22
作者:
Chen, Chuchu
;
Cohen, David
;
D'Ambrosio, Raffaele
;
Lang, Annika
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浏览/下载:199/0
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提交时间:2020/05/24
Stochastic differential equations
Stochastic Hamiltonian systems
Energy
Trace formula
Numerical schemes
Strong convergence
Weak convergence
Multilevel Monte Carlo
Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 381, 页码: 110-128
作者:
Yan, Liang
;
Zhou, Tao
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  |  
浏览/下载:197/0
  |  
提交时间:2019/03/11
Bayesian inverse problems
Multi-fidelity polynomial chaos
Surrogate modeling
Markov chain Monte Carlo
Bayesian Neural Networks for Selection of Drug Sensitive Genes
期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2018, 卷号: 113, 期号: 523, 页码: 955-972
作者:
Liang, Faming
;
Li, Qizhai
;
Zhou, Lei
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  |  
浏览/下载:212/0
  |  
提交时间:2018/11/16
Cancer cell line encyclopedia
Nonlinear variable selection
Omics data
OpenMP
Parallel Markov chain Monte Carlo
A model averaging approach for the ordered probit and nested logit models with applications
期刊论文
JOURNAL OF APPLIED STATISTICS, 2018, 卷号: 45, 期号: 16, 页码: 3012-3052
作者:
Chen, Longmei
;
Wan, Alan T. K.
;
Tso, Geoffrey
;
Zhang, Xinyu
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  |  
浏览/下载:209/0
  |  
提交时间:2018/11/16
Hit rate
model averaging
model selection
Monte Carlo
nested logit
ordered probit
screening
On algorithmic construction of maximin distance designs
期刊论文
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2017, 卷号: 46, 期号: 10, 页码: 7972-7985
作者:
Mu, Weiyan
;
Xiong, Shifeng
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  |  
浏览/下载:125/0
  |  
提交时间:2018/07/30
Computer experiment
Global optimization
Nested design
Projectional property
Quasi-Monte Carlo
Sliced design
Space-filling design