利用矩阵的奇异值分解和矩阵对的商奇异值分解,讨论了子矩阵约束下双反对称矩阵扩充问题,给出了其扩充的充要条件和扩充后的通解表达式,并给出了此问题的最佳逼近解.
By applying the singular-value decomposition (SVD) and quotient singular-value decomposition (QSVD), the sufficient and necessary conditions and the normal solutions of the inverse problem of anti-bisymmetric matrices with a submatrices constraint are given, together with the optimal approximate solution.