从理论分析和数据实验两方面都表明，此算法的时间复杂性和精度都与LU分解法相当。
It can be seen that both the time complexity and precision are matched with those of LU resolving method through theory analysis and data experiment.
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 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.
相对于行列分解法，该算法节省了约一半的乘法次数，省略了数据的转置存储过程，而加法的运算复杂度基本维持不变。
Compared to Roll and Column Method (RCM), this new fast algorithm reduces half of multiplication times, eliminates transposition of data, and retains computational complexity of addition.
相对于行列分解法，该算法节省了约一半的乘法次数，省略了数据的转置存储过程，而加法的运算复杂度基本维持不变。
Compared to Roll and Column Method (RCM), this new fast algorithm reduces half of multiplication times, eliminates transposition of data, and retains computational complexity of addition.
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