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清华大学 [5]
西安交通大学 [4]
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湖南大学 [3]
兰州理工大学 [2]
数学与系统科学研究院 [2]
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期刊论文 [26]
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The Jaramillo subchron in Chinese loess-paleosol sequences
期刊论文
PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY, 2021, 卷号: 572, 页码: 19
作者:
Pan, Qing
;
Xiao, Guoqiao
;
Zhao, Qingyu
;
Chen, Ruisheng
;
Ao, Hong
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2021/12/06
Chinese Loess Plateau
Magnetostratigraphy
Rock magnetism
Relative paleointensity
Remagnetization
Matuyama-Brunhes boundary
Microcodium in Chinese loess as a recorder for the oxygen isotopic composition of monsoonal rainwater
期刊论文
QUATERNARY INTERNATIONAL, 2018, 卷号: 464, 期号: 2018, 页码: 364-369
作者:
Yan, Hong
;
An, Zhisheng
;
Li, Gaojun
;
Zhang, Zeke
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2018/09/26
Chinese Loess Plateau
Climate Change
Paleosol
East Asia Monsoon
Precipitation Delta O-18
A fast scanning ion conductance microscopy imaging method using compressive sensing and low-discrepancy sequences
期刊论文
REVIEW OF SCIENTIFIC INSTRUMENTS, 2018, 卷号: 89
作者:
Wang, Zhiwu
;
Zhuang, Jian
;
Gao, Zijun
;
Liao, Xiaobo
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  |  
浏览/下载:2/0
  |  
提交时间:2019/11/19
A two-step methodology to apply low-discrepancy sequences in reliability assessment of structural dynamic systems.
期刊论文
Structural & Multidisciplinary Optimization, 2018, 卷号: Vol.57 No.4, 页码: 1643-1662
作者:
Xu, Jun
;
Wang, Ding
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/26
CL2 discrepancy
Extreme value distribution
Fractional moments
GF discrepancy
Low-discrepancy sequence
Reliability
Structural dynamic systems
A two-step methodology to apply low-discrepancy sequences in reliability assessment of structural dynamic systems
期刊论文
Structural and Multidisciplinary Optimization, 2018, 卷号: Vol.57 No.4, 页码: 1643-1662
作者:
Xu, Jun
;
Wang, Ding
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/26
Low-discrepancy
sequence
Reliability
Structural
dynamic
systems
CL2
discrepancy
GF
discrepancy
Extreme
value
distribution
Fractional
moments
A two-step methodology to apply low-discrepancy sequences in reliability assessment of structural dynamic systems
期刊论文
Structural and Multidisciplinary Optimization, 2018, 卷号: Vol.57 No.4, 页码: 1643-1662
作者:
Xu, J.
;
Wang, D.
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/26
CL2 discrepancy
Extreme value distribution
Fractional moments
GF discrepancy
Low-discrepancy sequence
Reliability
Structural dynamic systems
Stochastic load flow calculation based on quasi-Monte Carlo method for active distribution network
期刊论文
Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2017, 卷号: 37, 页码: 7-12
作者:
Wang, Xiuli
;
Zhang, Zece
;
Hou, Yushen
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  |  
浏览/下载:2/0
  |  
提交时间:2019/11/26
Active distribution networks
Deterministic modeling
Distributed generators
Low-discrepancy sequences
Probabilistic load flow calculations
Quasi Monte Carlo methods
Quasi-Monte Carlo
Stochastic load flow
Low-Discrepancy Blue Noise Sampling
期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2016, 卷号: 35, 期号: 6, 页码: 247:1--247:13
作者:
Ahmed, Abdalla G. M.
;
Perrier, Helene
;
Coeurjolly, David
;
Ostromoukhov, Victor
;
Guo, Jianwei
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2017/02/14
Blue Noise
Low Discrepancy
Sampling
Monte Carlo
Quasi-monte Carlo
A Quasi Monte Carlo probabilistic load flow method of distribution system containing distributed generation and electric vehicle charging load based on Sobol sequence
会议论文
Xi'an, China, August 10, 2016 - August 13, 2016
作者:
Chen, Wei
;
Yan, Hongqiang
;
Pei, Xiping
;
Wu, Butuo
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/11/15
Charging (batteries)
Distributed computer systems
Distributed power generation
Electric automobiles
Electric load flow
Electric utilities
Intelligent systems
Monte Carlo methods
Photovoltaic cells
Photovoltaic effects
Probability distributions
Solar energy
Stochastic models
Stochastic systems
Electric vehicle charging
Latin hypercube sampling
Latin hypercube sampling methods
Photovoltaic power generation
Probabilistic load flow
Quasi-Monte Carlo
Quasi-Monte Carlo simulation
Stochastic characteristic
Low-Discrepancy Blue Noise Sampling
期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2016
作者:
Abdalla G. M. Ahmed
;
Hélène Perrier
;
David Coeurjolly
;
Victor Ostromoukhov
;
Jianwei Guo
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2017/01/15
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