The study of sign stability of a real square matrix has important applications in various areas such as economics, ecology, and so on.
一个实矩阵的符号稳定性问题在经济学、生态学等诸多领域中都有应用背景。
The least square problem of the convolution result and real seismic data can be considered as the solution of a huge rarefactional matrix equation, which can be solved by singular value decomposition.
然后将其与地震子波褶积，使其求解结果与实际地震数据的最小平方问题归结为求解一大型稀疏矩阵方程，并采用奇异位分解法求解。
A square real matrix a is called an S2NS matrix, if every matrix with the same sign pattern as a is invertible, and the inverses of all such matrices have the same sign pattern.
一个实方阵a称为是S2NS阵，若所有与A有相同符号模式的矩阵均可逆，且它们的逆矩阵的符号模式都相同。
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