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。
The inverse problem is solved using conjugate gradient method of minimization based on discrete ordinates method of radiative transfer equation.
该方法是在辐射传递方程离散坐标近似的基础上，用求目标函数极小值的共轭梯度法进行反演计算。
Newton PCG method is an inexact Newton like method. It is an organic combination of Newton's method and preconditioned conjugate gradient method.
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。
We apply the popular trust region algorithm and truncated conjugate gradient algorithm with trust region skills to solve trust region subproblems.
应用目前流行的信赖域算法，并用带有信赖域技巧的截断共扼梯度法来解信赖域子问题。
Compared with direct conjugate gradient optimal control solution method, the method of this paper is a direct and effective way to solve the problem.
给出了使用共轭梯度直接最优控制解法与本文方法的结果比较，表明本文方法是解决该类问题的一种直观有效的途径。
An adaptive conjugate gradient algorithm based on subband decompsition structure was proposed for acoustic echo cancellation in communication systems.
针对通信系统中的声学回声干扰问题，研究了一种快速收敛和有效的自适应回声抵消算法。
Based on the steepest descent method and the conjugate gradient method, a hybrid algorithm is proposed in this paper, and its global convergence is proved.
将最速下降法与共轭梯度法有机结合起来，构造出一种混合优化算法，并证明其全局收敛性。
This paper is investigated a preconditioned conjugate gradient method in solving a linear algebraic system of large sparse symmetric and positive equations.
本文研究了解决大型稀疏对称正定线性方程组的一类预条件共轭梯度法。
The paper presents a nonlinear conjugate gradient method for unconstrained optimization problem, and proves its global convergence under exact line searches.
该文提出一种无约束优化非线性共轭梯度法，证明了精确线性搜索下的全局收敛性。
And the three optimization problems are solved respectively by the conjugate gradient method, the adaptive bivariate shrinking and the gradient descent method.
并提出分别采用共轭梯度法、二元自适应收缩法以及梯度下降法对以上优化问题求解。
And the three optimization problems are solved respectively by the conjugate gradient method, the adaptive bivariate shrinking and the gradient descent method.
并提出分别采用共轭梯度法、二元自适应收缩法以及梯度下降法对以上优化问题求解。
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