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。
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。
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 were choosed to solve the large sparse matrix equations induced by the FEM and computer language FORTRAN was used to programme the numerical simulation system software.
选择共轭梯度法解决由有限元法形成的大型稀疏矩阵方程，应用FORTRAN语言编制了数值模拟系统软件。
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 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。
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。
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。
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。
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。
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。
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。
A new hybrid algorithm which combines the chaos optimization method and the nonlinear conjugate gradient method approach having an effective convergence property is proposed.
利用优化问题的非线性共轭梯度法与混沌优化方法相结合，提出了一种新的混合优化算法。
Results show that the zonal method combined with the conjugate gradient method can solve the equivalent gray absorption coefficient well in the non-gray gases system.
数值模拟结果表明，段法与共轭梯度法结合可以较好地反演非灰系统的当量灰吸收系数。
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 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。
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。
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。
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。
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。
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。
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。
The discontinuous finite element method is extended to solve the direct problem, and then the conjugate gradient method is used to solve the inverse problem by optimizing the objective function.
正问题采用间断有限元法求解，反问题的解则在正问题的基础上通过共轭梯度法得到。
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。
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。
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。
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。
应用推荐