In this paper we propose a new generalized cyclic symmetric structure in the factor matrices of polyadic decompositions of matrix multiplication tensors for non-square matrix multiplication to reduce the number of variables in the optimization problem and in this way improve the convergence.

翻译：本文针对非方形矩阵乘法，提出了一种新的矩阵乘法张量多聚体分解因子矩阵中的广义循环对称结构，以减少优化问题中的变量数量，从而提高收敛性。