翻转全对称矩阵及其特殊情况下的矩阵分解

Flip holohedral symmetric matrix and its factorization

在翻转矩阵概念的基础上,提出了翻转全对称矩阵,并讨论其性质,获得了一些新的结果,给出了翻转全对称矩阵在特殊情况下的分解,将其化成阶数较低的矩阵,从而可极大地减少翻转全对称矩阵的计算量与存储量.

Given the concept of flip holohedral symmetric matrix based on the definition of flip matrix,obtained its properties,come to certain new conclusions.In addition,the formula for the factorization of this kind of matrix is obtained in exceptional cases,all of which can reduce the amount of calculation and save the CPU time and memory,as converting the computation of a real matrix into the computation of matrices with lower order.