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北京大学 [6]
数学与系统科学研究院 [6]
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期刊论文 [17]
其他 [3]
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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
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/02/07
Uncertainty quantification
Anomalous transport
Quasi Monte Carlo simulation
Generalized polynomial chaos
Long-time integration
Poly-fractonomials
Efficient Stochastic Galerkin Methods for Maxwell's Equations with Random Inputs
期刊论文
JOURNAL OF SCIENTIFIC COMPUTING, 2019, 卷号: 80, 期号: 1, 页码: 248-267
作者:
Fang, Zhiwei
;
Li, Jichun
;
Tang, Tao
;
Zhou, Tao
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  |  
浏览/下载:39/0
  |  
提交时间:2020/01/10
Maxwell's equations
Finite element method
Random inputs
Polynomial chaos methods
Stochastic Galerkin
The Distribution and Uncertainty Quantification of Wind Profile in the Stochastic General Ekman Momentum Approximation Model
期刊论文
JOURNAL OF METEOROLOGICAL RESEARCH, 2019, 卷号: 33, 期号: 2, 页码: 336-348
作者:
Yan, Bing
;
Huang, Sixun
;
Feng, Jing
;
Wang, Yu
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  |  
浏览/下载:4/0
  |  
提交时间:2019/08/22
generalized polynomial chaos
Monte Carlo method
general Ekman momentum approximation model
Ekman spiral
A new method for an old topic: Efficient and reliable estimation of material bulk modulus
期刊论文
COMPUTATIONAL MATERIALS SCIENCE, 2019, 卷号: 165, 页码: 7-12
作者:
Wang, Peng
;
Qin, Yi
;
Cheng, Ming
;
Wang, Guanjie
;
Xiu, Dongbin
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  |  
浏览/下载:45/0
  |  
提交时间:2019/12/30
Uncertainty quantification
Bulk modulus
Generalized polynomial chaos expansion
ab initio calculations
Data assimilation for models with parametric uncertainty
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 396, 页码: 785-798
作者:
Yang, Lun
;
Qin, Yi
;
Narayan, Akil
;
Wang, Peng
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Particle filter
Data assimilation
Generalized polynomial chaos
Uncertainty quantification
Stochastic Galerkin method
Stochastic collocation method
Error analysis of the Wiener-Askey polynomial chaos with hyperbolic cross approximation and its application to differential equations with random input
期刊论文
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2018, 卷号: 335, 页码: 242-269
作者:
Luo, Xue
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浏览/下载:3/0
  |  
提交时间:2019/12/30
Generalized polynomial chaos
Hyperbolic cross approximation
Differential equations with random inputs
Spectral method
Uncertainty quantification on the macroscopic properties of heterogeneous porous media
期刊论文
PHYSICAL REVIEW E, 2018, 卷号: 98
作者:
Wang, Peng
;
Chen, Huali
;
Meng, Xuhui
;
Jiang, Xin
;
Xiu, Dongbin
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Intelligent systems
Porous materials
Complex physical process
Generalized polynomial chaos
Heterogeneous porous media
Macroscopic properties
Parametric uncertainties
Probabilistic density function
Structural heterogeneity
Uncertainty quantifications
Monte Carlo methods
Probabilistic Stability Analysis of a Three-Dimensional Rock Slope Characterized by the Hoek-Brown Failure Criterion
期刊论文
JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2017, 卷号: 31, 期号: 5, 页码: 10
作者:
Pan, Qiujing
;
Jiang, Yuan-Jun
;
Dias, Daniel
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  |  
浏览/下载:18/0
  |  
提交时间:2017/06/13
Three-dimensional (3D) slope
Stability
Probabilistic analysis
Hoek-Brown criterion
Sparse polynomial chaos expansion
Response surface method
A GENERALIZED SAMPLING AND PRECONDITIONING SCHEME FOR SPARSE APPROXIMATION OF POLYNOMIAL CHAOS EXPANSIONS
期刊论文
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2017, 卷号: 39, 期号: 3, 页码: A1114-A1144
作者:
Jakeman, John D.
;
Narayan, Akil
;
Zhou, Tao
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2018/07/30
uncertainty quantification
polynomial chaos
compressed sensing
A stochastic Galerkin method for first-order quasilinear hyperbolic systems with uncertainty
其他
2017-01-01
Wu, Kailiang
;
Tang, Huazhong
;
Xiu, Dongbin
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  |  
浏览/下载:6/0
  |  
提交时间:2017/12/03
Uncertainty quantification
Quasilinear hyperbolic system
Stochastic Galerkin methods
Generalized polynomial chaos
Symmetrically hyperbolic
Operator splitting
PARTIAL-DIFFERENTIAL-EQUATIONS
FINITE-VOLUME SCHEMES
RANDOM INPUT DATA
EULER EQUATIONS
GAS-DYNAMICS
COLLOCATION METHOD
POLYNOMIAL CHAOS
QUANTIFICATION
SIMULATIONS
PROPAGATION
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