conjugate gradient

通过迭代逼近最优解。
常用释义
共轭梯度法:一种用于求解线性方程组的迭代算法,通过迭代逼近最优解。

例句

1·Conjugate Gradient; Sufficient Descent Property; Convergence.

共轭梯度,充分下降,收敛性。

2·The conjugate gradient method was selected as the inversion kernel.

该方法选取共轭梯度反演算法为拟三维反演的核心。

3·The conjugate gradient method is employed in developing the algorithm.

在计算方法上,采用共轭梯度法。

4·A corresponding iterative method is presented by making use of conjugate gradient method.

利用共轭梯度法的思想,建立相应的迭代算法。

5·For this theory, it is better than the traditional fixed damping conjugate gradient method.

从理论上讲,它要优于传统的固定阻尼共轭梯度法。

6·Conjugate gradient methods are important iterative methods for solving optimization problems.

共轭梯度法是求解最优化问题的一类有效算法。

7·The parameters of the neural network PID controller are modified on line by the improved conjugate gradient.

并用这种改进的共轭梯度法对神经网络PID控制器参数实现在线修正。

8·In this paper, the relationship of DFP variable metric method and FR conjugate gradient method is investigated.

研究了求解无约束极值问题的DFP变尺度法和FR共轭梯度法的关系问题。

9·The conjugate gradient method is one of the most efficient methods for solving unconstrained optimization problems.

共轭梯度法是求解无约束优化问题的一类有效方法。

10·An incomplete Cholesky-conjugate gradient method is used to solve the pressure equation of two phase bi-dimension model.

本文把不完全乔利斯基——共轭斜量解法用于求解二维二相模型的压力方程。