讨论了当矩阵A为满秩矩阵时求其广义逆的一种方法，并将此方法推广，给出当A为非满秩矩阵时求其广义逆的一般方法，同时给出算例。
This paper discusses the way about how to get the reflexive general inverse matrix of a full rank matrix A, and generalize this way, gives the general way for not full rank matrix.
本文给出了化不含平方项的两类特殊二次型为标准形的一种直接选取满秩线性变换法。
The paper teus a direct way to select nonsingular linear transformation by changing two special quadratic forms without square terms to the standard form.
非负矩阵分解（NMF）要求分解得到的左矩阵为列满秩，这限制了它在欠定盲分离（UBSS）中的应用。
The decomposed left matrix of Non-negative Matrix Factorization (NMF) is required to be full column rank, which limits of its application to Underdetermined Blind Source Separation (UBSS).
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