大学英语词汇短语释义解析及例句 conjugate gradient
释义：
conjugate gradient 共轭梯度：一种用于求解线性方程组的迭代算法，特别适用于求解大型稀疏矩阵的问题
例句：
Conjugate Gradient; Sufficient Descent Property; Convergence.
共轭梯度，充分下降，收敛性。
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。
The conjugate gradient method is employed in developing the algorithm.
在计算方法上，采用共轭梯度法。
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。
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。
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。
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。
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。
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。
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。
The least square conjugate gradient and odd values decomposition method also can be used to perform tomographic inversion.
研制的最小平方共轭梯度算法和奇异值分解法也可进行同样的层析反演。
Experiment results show that the conjugate gradient reconstruction algorithm is robust, rapid convergent, and memory saved.
实验结果表明共扼梯度最优化迭代算法是鲁棒的、快速收敛的，并且大量节省内存。
The numerical results show that, the conjugate gradient method can solve the absorption coefficient well in one dimensional system.
数值计算的结果表明，共轭梯度法可以比较好的反演辐射系统的吸收系数。
The conjugate gradient method (CGM) and fast Fourier transform (FFT) technique are used to reduce the necessary memory and CPU time.
在求解过程中应用共轭梯度法(CGM)和快速傅立叶变换(FFT)相结合的方法降低所需计算机内存和CPU时间。
The objective function was established based on the maximum likelihood rule, which was solved by nonlinear conjugate gradient method.
该方法利用最大似然准则建立目标函数，同时利用非线性共轭梯度法来优化求解目标函数。
Examples show that the proposed parallel substructure conjugate gradient method can achieve better parallel speedup ratio for network.
算例表明此种并行子结构共轭梯度法在网络上能获得较高的并行加速比。
An artificial neural network algorithm, based on variable slope BP algorithm and conjugate gradient algorithm, is presented in this paper.
在常规算法的基础上，提出了一种基于变斜率算法与共轭梯度算法的接力逆向传播算法。
In this program, the optimization method of "Conjugate Gradient-Least Squares" is employed, since it usually gives good convergent results.
程序中采用了“共轭梯度——最小二乘”优化方法，其收敛性能较好，在较坏的初值情况下也能较快收敛。
