Blended particle methods with adaptive subspaces for filtering turbulent dynamical systems

来源 :Mathematics of Geophysical Llows and Turbulence(地球物理流动与湍流的数学 | 被引量 : 0次 | 上传用户：zyx_xingfu

【摘要】

：

　　Hybrid methods combining the advantages of traditional particle filters and the Kalman filter offer a promising direction for filtering or data assimilation

【作者】

：

Di Qi

【机构】

：

Courant Institute of Mathematical Science New York University,USA

【出处】

：

Mathematics of Geophysical Llows and Turbulence(地球物理流动与湍流的数学

【发表日期】

：

2015年期

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　　Hybrid methods combining the advantages of traditional particle filters and the Kalman filter offer a promising direction for filtering or data assimilation in high dimensional turbulent dynamical systems.

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Blended particle methods with adaptive subspaces for filtering turbulent dynamical systems

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