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。
The output feedback pole assignment problem is transformed to a least square problem. The feedback matrix can be obtained by using LM algorithm.
将输出反馈极点配置问题转化为非线性最小二乘问题，用LM方法解出具有最小范数的反馈矩阵。
The inverse least square problem with spectral constraints is also studied and a sufficient condition is given for its solvability.
讨论了四元数量子力学中带有谱约束的最小二乘解反问题，得到了此问题有解的充分条件。
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