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。
This scheme is related to the mathematics; the Conjugate Gradient Method (CGM).
这项方案涉及到数学中的共轭梯度法（CGM ）。
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。
We use conjugate gradient method to improve the learning speed of the premise parameters.
用共轭梯度法提高其前提参数的学习速度。
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。
This paper presents a wide line search and gives a new conjugate gradient method, with global convergence.
本文对该算法中的线搜索进行了推广，提出了一种新的非线性共轭梯度算法并证明了其全局收敛性。
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。
According to the filter matrix particularity, the filter equation was solved by using conjugate gradient method.
并根据滤波矩阵的特殊性，？用共轭梯度法求解滤波方程。
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。
A phase-only direct data domain least square (D3LS) algorithm based on the nonlinear conjugate gradient method was proposed.
提出一种基于非线性共轭梯度法的唯相直接数据域最小二乘算法。
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。
After discussing the basic inversion problem, this paper achieve the 1d SNMR Tikhonov regularization inverse by conjugate gradient method.
本文在讨论反演基本问题的基础上，用共轭梯度法实现了核磁共振的一维正则化反演。
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。
The optimal real power flow is computed on the basis of the quasi-gradient vector by means of gradient method, conjugate gradient method and DPF method.
并用算例用基于准梯度向量的准梯度法、准共轭梯度法和变尺度法求解有功优化潮流。
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。
Results of displacement, stress and strain of the shaft under the common loads of bend and torsion are obtained by Pre-condition conjugate gradient method.
对该模型施加适当的约束和载荷，通过预前共轭梯度法，计算得到了轴类零件在常见工况-弯曲和扭转载荷作用下的位移、应力、应变等力学特性。
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。
In Chapter 1, we recall the foundational knowledge about conjugate gradient method and some famous researches, and describe the BFGS and BFGS-TYPE formulas.
第一章，回顾有关共轭梯度方法的基本知识及一些著名成果，描述了BFGS和BFGS - TYPE公式。
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。
Conjugate gradient method is an efficient method in solving problems with unconstrained optimization, which is especially efficient in dealing large dimension.
共轭梯度法是求解大规模无约束优化问题的一种有效方法。
A new method of optimisation design for the correction element in control system is stated by combining the conjugate gradient method and using MATLAB software.
结合共轭梯度法，借助于MATLAB软件，提出一种控制系统校正环节优化设计的新方法。
A new method of optimisation design for the correction element in control system is stated by combining the conjugate gradient method and using MATLAB software.
结合共轭梯度法，借助于MATLAB软件，提出一种控制系统校正环节优化设计的新方法。
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