An improved MonteCarlo stochastic FEM based on polynomial preconditioners is established through introduction of the conjugate gradients method into the traditional MonteCarlo stochastic FEM.
将共轭梯度法引入蒙特卡洛随机有限元法，建立基于多项式预处理共轭梯度法的蒙特卡洛随机有限元方法。
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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