| 1. | Sufficient conditions of determination for invertible matrix
判定矩阵可逆的几个充分条件 |
| 2. | On necessary and sufficient condition of invertible matrix in integral ring
整数环上矩阵可逆的充要条件 |
| 3. | Discussion about solving invertible matrix when translating a matrix into its normal form
关于化矩阵为标准形时可逆矩阵求法的探讨 |
| 4. | An orthogonal matrix is an invertible matrix for which the inverse is equal to the transpose
正交矩阵是可逆矩阵，其逆矩阵等于其转置矩阵。 |
| 5. | In this paper , we shall characterize the linear operators that strongly preserve nilpotent matrices and that strongly preserve invertible matrices over boolean algebras and antinegative semirings without zero divisors
本文将刻画在布尔代数和非负无零因子半环上强保持幂零矩阵和可逆矩阵的线性算子 |
| 6. | Automorphism group of a linear code is obtained with the help of the general linear group constructed by all invertible matrices , and it is illustrated by matrices generalized inverses
给出了通过求解可逆矩阵构成的一般线性群，获得线性码的自同构群的方法，并利用矩阵广义逆理论，对线性码的自同构群进行进一步刻划。 |
| 7. | Based on the given securities combination model and the justified general principle of the invertible matrix , the analyze expression formula of securities investment combination right counting was deduced and justified with the examples
摘要给出了证券组合模型，在其使对称矩阵与对角矩阵合同的可逆阵的一般规律基础上，推导出证券投资组合给合权数的解析表达式，并给出实例验证。 |
