In this repo, we analyze the motion capture data using the so called Dynamic Mode Decomposition algorithm.
A brief report can be found here: https://students.washington.edu/yliu814/wordpress/2018/04/21/walking_dmd/
In this repo, we analyze the motion capture data using the so called Dynamic Mode Decomposition algorithm.
A brief report can be found here: https://students.washington.edu/yliu814/wordpress/2018/04/21/walking_dmd/
您好,我是最近才接触Koopman
,目前正在试图搞明白DMD
,针对您/src/dmd.m
中我有一个问题,就是求DMD mods
的时候,在16行,其中Vr
,Sr
都是对X的奇异值的右奇异矩阵和奇异值对角阵,为什么您在求modes
的时候却用上了Y呢?Y*Vr/Sr
的本意不是要求X
的左奇异矩阵吗?为什么不是X*Vr/Sr
呢?
还有一个问题想请教一下您,我最近花了好多时间也没搞明白,就是Koopman
的三个重要的结果,eigenvalues
, eigenfunctions
和modes
是什么样的关系呢?我理解eigenvalues
, eigenfunctions
是近似Koopman
的线性K
矩阵的特征值和特征向量,那modes
又是什么呢?我看了好几篇论文都没搞明白,modes
好像是特征函数什么系数。
万分感谢,我是在知乎上看到您的讲解。
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