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 idea of conjugate gradient path in unconstrained optimization irradiates us to use this method for solving the linear equality optimization subject to bounds on variables.
无约束优化问题的共轭梯度路径构造的思想启迪我们用其来解带线性等式约束和有界变量约束的优化问题。
Pr conjugate gradient method is one of the efficient methods for solving large scale unconstrained optimization problems, however, its global convergence has not been solved for a long time.
PR共轭梯度法是求解大型无约束优化问题的有效算法之一，但是算法的全局收敛性在理论上一直没有得到解决。
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。
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。
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。
This paper introduces a curvilinear line searching technique, which possesses all the meris of the gradient method, the conjugate gradient method and some of their refined types.
本文介绍一种沿曲线方向线性搜索的算法，这种算法概括了梯度法、共轭梯度法以及它们的改进格式。
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。
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。
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。
It allows beat free extraction of close and crossing orders in systems with multiple shafts using Preconditioned Conjugate Gradient (PCG) method.
采用预处理共轭梯度法求解多轴阶比，实现了邻近和交叉阶比分量的解耦提取。
Conjugate gradient method, which can be easily computed and requires no matrix storage, is one of the most popular and useful method for solving large scale optimization problems.
共轭梯度法是最优化中最常用的方法之一，它具有算法简便、不需要矩阵存储等优点，十分适合于大规模优化问题。
This paper analyzes the applied effect of this method, then solves the vertical finite line source 3d resistivity inversion by using conjugate gradient relaxation.
本文对该方法实际应用的有效性进行了分析和说明，并利用共轭梯度迭代技术实现了垂直有限线源三维电阻率反演。
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。
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。
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。
Nonlinear programming techniques, branch and bound algorithms and incomplete Cholesky decomposition conjugate gradient method (ICCG) are the three main parts of our work.
非线性优化技术、分枝定界算法和不完全乔莱斯基分解的预优共轭梯度法是该工作的三个主体部分。
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。
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。
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。
Large Numbers of experiments show that the combination strategy is effective, and the two algorithms have better performance and convergence than LU factorization and conjugate gradient method.
大量实验结果表明此结合策略是很有效的，得到的两种算法具有较快的速度和较好的收敛性。
Onthe other hand, with traditional iterations and the conjugate gradient(CG) as smoothers, we can show the optimal convergence rate of the cascadic method in energy norm for 1-D and 2-D cases.
另一方面，采用传统迭代子和共轭梯度法作为光滑子，我们证明了瀑布型多重网格法对一、二维非线性椭圆边值问题，在能量范数下，均可获得最优收敛阶。
Onthe other hand, with traditional iterations and the conjugate gradient(CG) as smoothers, we can show the optimal convergence rate of the cascadic method in energy norm for 1-D and 2-D cases.
另一方面，采用传统迭代子和共轭梯度法作为光滑子，我们证明了瀑布型多重网格法对一、二维非线性椭圆边值问题，在能量范数下，均可获得最优收敛阶。
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