Secondly, the method applies a linear iterative procedure in calculation and the SVD is used as a main tool, avoiding complex nonlinear optimization processes. 實現過程是以奇異值分解為基本工具的分步線性迭代計算，避免了傳統射影重建方法複雜的非線性優化環節。
At the same time, through the contrasting calculation of an engineering optimization problem, the astringency and engineering usability of this modifier algorithm are proved. 通過一個工程優化問題的對比計算，驗證了這種迭代計算方法的收斂性以及工程適用性。
