Regularized ensemble Kalman methods for inverse problems
Journal of Computational Physics(2020)
摘要
•Built general constraints into ensemble Kalman methods for inverse problems.•Derived regularization for ensemble methods equivalent to that in adjoint methods.•Bridges the gap between regularization in adjoint- and ensemble-based methods.•Requires only minor algorithmic modifications to traditional Kalman method.
更多查看译文
关键词
Bayesian inference,Ensemble Kalman method,Regularization,Parameter estimation,Field inversion
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要