Sparsity-promoting elastic net method with rotations for high-dimensional nonlinear inverse problem-Reference-Cited by-同舟云学术

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Sparsity-promoting elastic net method with rotations for high-dimensional nonlinear inverse problem

Published:2019-03 Issue: Volume:345 Page:263-282
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Wang Yuepeng,Ren Lanlan,Zhang Zongyuan,Lin Guang^ORCID,Xu Chao

Funder

National Natural Science Foundation of China

Open Research Project of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China

National Science Foundation

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference77 articles.

1. An adaptive ANOVA-based PCKF for high-dimensional nonlinear inverse modeling;Li;J. Comput. Phys.,2014

2. A stochastic collocation based Kalman filter for data assimilation;Zeng;Comput. Geosci.,2010

3. A new approach to linear filtering and prediction problems;Kalman;J. Basic Eng.,1960

4. Asymptotic-behavior of the extended Kaman filter as a parameter estimator for linear-systems;Ljung;IEEE Trans. Automat. Control,1979

5. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte-Carlo methods to forecast error statistics;Evensen;J. Geophys. Res.,1994

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