PCG算法是牛顿法和预优共轭梯度法结合起来解牛顿方程的一种非精确牛顿法。
Newton PCG method is an inexact Newton like method. It is an organic combination of Newton's method and preconditioned conjugate gradient method.
数值模拟结果表明，段法与共轭梯度法结合可以较好地反演非灰系统的当量灰吸收系数。
Results show that the zonal method combined with the conjugate gradient method can solve the equivalent gray absorption coefficient well in the non-gray gases system.
文章给出了一种新的非精确线性搜索下的共轭梯度法，说明了在新线性搜索下每次迭代能够产生下降方向。
The method is proved to be globally convergent if the exact line search, the Grippo-Lucidi line search and the Wolfe-Powell line search is used.
文章给出了一种新的非精确线性搜索下的共轭梯度法，说明了在新线性搜索下每次迭代能够产生下降方向。
The method is proved to be globally convergent if the exact line search, the Grippo-Lucidi line search and the Wolfe-Powell line search is used.
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