在计算方法上,采用共轭梯度法。
The conjugate gradient method is employed in developing the algorithm.
共轭梯度法是求解最优化问题的一类有效算法。
Conjugate gradient methods are important iterative methods for solving optimization problems.
利用共轭梯度法的思想,建立相应的迭代算法。
A corresponding iterative method is presented by making use of conjugate gradient method.
从理论上讲,它要优于传统的固定阻尼共轭梯度法。
For this theory, it is better than the traditional fixed damping conjugate gradient method.
电流梯度法是一种地下管道外防护层检测的新技术。
Electric current gradient process was a new technique for testing the external coatings of the underground pipelines.
共轭梯度法是求解无约束优化问题的一类有效方法。
The conjugate gradient method is one of the most efficient methods for solving unconstrained optimization problems.
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。
Conjugate gradient method is an efficient method in solving problems with unconstrained optimization, which is especially efficient in dealing large dimension.
本文利用微机通过梯度法初步实现对汽车振动参数的优化设计。
An attempt has been made to apply a gradient method for optimizing motor cars oscillatory parameter using microcomputers.
首先用X2直方图匹配法检测镜头切换,梯度法检测镜头淡入淡出;
The X2 histogram match and grads method is used for shot detection.
反问题的解在正问题的基础上通过共轭梯度法最小化目标函数得到。
The inverse solution was obtained through minimizing the object function using CGM based on the direct problem.
目的探索用简化的单一密度梯度法建立快速纯化大鼠胰岛细胞的方法。
Objective To establish an rapid and simple discontinuous density gradient method for purification of islet cells from rat pancreas.
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。
Examples show that the proposed parallel substructure conjugate gradient method can achieve better parallel speedup ratio for network.
在此宏观模型的基础上,利用简约梯度法推求各供水泵站优化的工况点。
Based on this macroscopic model, reduced gradient method was applied to search for the optimal working conditions of pumping stations.
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。
The parameters of the neural network PID controller are modified on line by the improved conjugate gradient.
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 numerical results show that, the conjugate gradient method can solve the absorption coefficient well in one dimensional system.
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。
In this paper, the relationship of DFP variable metric method and FR conjugate gradient method is investigated.
它们可用于选择部分重要的状态反馈及部分状态反馈次优控制的梯度法寻优计算。
It can be used in the gradient approach to select part of the important state feedbacks and to compute part of the state feedbacks of the suboptimal control.
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。
Newton PCG method is an inexact Newton like method. It is an organic combination of Newton's method and preconditioned conjugate gradient method.
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 paper presents a nonlinear conjugate gradient method for unconstrained optimization problem, and proves its global convergence under exact line searches.
基于无约束最优化问题的记忆梯度法,本文设计了测定近震时空参数的计算机程序。
In this paper, a computer program for determining near earthquake time and space parameters is designed, on the basis of memory gradient method for unconstrained optimization.
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 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.
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。
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.
等人提出的重力归一化总梯度法是一种利用重力数据来确定场源以及密度分界面的方法。
The normalized total gradient method of gravity presented by V. M. Berezkin et al is a method for determining field source and density interface by means of gravity data.
进而给出了在梯度一定的条件下,所提出的算法比传统的带动量的梯度法收敛快的条件。
Furthermore, the condition of the faster convergence of the proposed algorithm comparing with the conventional gradient descent algorithm with momentum term is derived.
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。
We apply the popular trust region algorithm and truncated conjugate gradient algorithm with trust region skills to solve trust region subproblems.
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 objective function was established based on the maximum likelihood rule, which was solved by nonlinear conjugate gradient method.
本文在比较基于能量的各种算法的基础上提出了建立目标函数,用梯度法实现定位的算法。
Based on the comparison of different algorithms of energy, we create a target function, and use grads method to realize localization.
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。
A new hybrid algorithm which combines the chaos optimization method and the nonlinear conjugate gradient method approach having an effective convergence property is proposed.
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。
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.
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