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Generalized Polar Decompositions in Matrix Exponential

机译:矩阵指数中的广义极分解

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Matrix exponential, computation is a difficulty thing when the order of the matrix get big and big after discretion. When we use Lie group method to get numeric solution of a differential equation, we often face this problem.Li group method is a kind of prosperous method, its basic ideas is to keep the numeric solution in a manifold which is less than the Euclid space while bigger than the analytic solution manifold, so we can get more exact numeric solution than other method. So we discussed the generalized polar decompositions method for matrix exponential.
机译:矩阵指数,当矩阵的阶数经过慎重考虑后,计算是一件困难的事情。当使用李群方法获得微分方程的数值解时,我们经常会遇到这个问题。李群方法是一种繁荣的方法,其基本思想是使数值解保持在小于欧几里得空间的流形中。虽然比解析解集更大,所以我们可以比其他方法得到更精确的数值解。因此,我们讨论了矩阵指数的广义极性分解方法。

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