The Paper presents a new U-D factorization based least squares methods for complex estimation.
本文提出了基于复数U - D分解的复参数最小二乘估计方法。
The paper presents a new U-D factorization based least squares methods for complex estimation.
提出了基于复数U - D分解的复参数最小二乘估计方法。
The 3-d resistivity inversion for minimum stricture using conjugate gradients shows good results as compared with traditional inversion method of least squares.
比较传统的最小二乘反演方法，利用共轭梯度的电阻率三维最小构造反演显示了更好的效果。
The 3-d resistivity inversion for minimum stricture using conjugate gradients shows good results as compared with traditional inversion method of least squares.
比较传统的最小二乘反演方法，利用共轭梯度的电阻率三维最小构造反演显示了更好的效果。
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