The static measurement is a nonlinear optimization problem.
剩余静校正问题实质上是一个非线性优化问题。
Then we apply these NCP functions to some nonlinear optimization methods.
把这些NCP函数应用到解非线性优化问题的方法中。
The algorithm is suit for handling the complex and nonlinear optimization problems.
该算法适合处理非线性优化问题。
In this paper, we propose a new class of trust region methods for nonlinear optimization problems.
本文提出一类新的解无约束最优化问题的信赖域方法。
Course Description: a unified analytical and computational approach to nonlinear optimization problems.
课程描述：对非线性最优化问题的统一解析和计算方法。
This course provides a unified analytical and computational approach to nonlinear optimization problems.
这门课程对非线性最适化问题提供了一种整合的解析和计算方法。
The constrained complex method is one of the important ways to resolve the problem of nonlinear optimization.
约束复合形法是求解约束非线性最优问题的一种重要方法。
An improved immune algorithm is put forward and applied for nonlinear optimization in cellular wireless location.
本文提出了一种改进的免疫算法，对蜂窝网络无线定位估计中的非线性优化问题进行求解。
Partition subarray is a complicated nonlinear optimization task and traditional linear optimization algorithms do not work.
对于子阵进行划分，是一个复杂的非线性优化问题，传统的优化算法无法胜任。
The results indicated the hybrid algorithm can improve significantly the efficiency of GA for solving nonlinear optimization.
经验证，该混合算法可以显著提高遗传算法的运行效率和优化性能。
Two-parameter nonlinear optimization procedure based on given vector norm is employed in model vertical resolution selection.
采用经过简化处理的基于矢量模的双参数最优化处理方法，对模式大气进行了垂直分层。
We discuss non-monotonic trust region algorithm for unconstrained nonlinear optimization problems in view of Trust Region Model mainly.
然后从信赖域子问题的角度出发，对无约束优化问题提出了一个改进的非单调信赖域算法。
It is difficult to search the best projection point of two dimension, but it can be solved by transforming a nonlinear optimization question.
应用该法的关键在于寻求二维空间的最佳投影点，这可以转化为一个复杂的非线性优化问题来进行解决。
This algorithm can improve optimal search efficiency and has broad use for treating all sorts of problems of complicated nonlinear optimization.
实例表明该优化算法能够提高搜索效率，在解决各种复杂的非线性优化问题方面具有广阔的前景。
An optimal apportionment of reliability problem of complex system is a nonlinear optimization problem with a large number of local extreme values.
复杂系统可靠度最优分配问题是一个具有多局部极值的非线性的优化问题。
The combination of a N-S equation flow solver with a nonlinear optimization method is used to design a new airfoil with high ratio of lift over drag.
使用解析形状函数法和参数化翼型表示方法，将求解绕翼型流场的N S方程解与优化方法相结合，可设计出新的高升阻比翼型。
This paper introduces a nonlinear method used for magnetic localization, this method is based on magnetic dipoles model and nonlinear optimization algorithm.
本文介绍了一种用于磁定位的非线性方法，该方法基于磁偶极子的磁场分布模型和非线性最优化算法。
This paper introduces a nonlinear method used for magnetic localization, this method is based on magnetic dipoles model and nonlinear optimization algorithm.
介绍了需求确定的情况下两级供应链库存控制的一种交互协作的最优化算法。
The solution of inverse problem usually requires nonlinear optimization of an objective function describing the difference between measured and simulated data.
反问题的求解常常需要转化为非线性优化问题，其目标函数定义为观测数据与模型数据之间的残差平方和。
In this paper, a new generalized gradient projection method with inexact line search is proposed for the nonlinear optimization problem with linear constraints.
本文研究了出现在系统与控制理论中的一些标准的、包含线性矩阵不等式的凸优化问题。
It takes the network training process as to solve a nonlinear optimization problem. The network weights are optimization variables and prior-knowledge is the constraint.
算法将网络训练看成是求解一个优化问题，网络权是优化变量，而先验知识则是优化问题中的约束项。
Based on analysis of the effects of the pitch on heat transfer enhancement and flow resistance, the pitch was optimized by the constrained nonlinear optimization method.
通过分析内管螺距对强化换热和流动阻力的影响，采用有约束非线性优化方法对螺距进行了优化。
The linear weighted aggregative method is used for three objective nonlinear optimization problem. In which weighing factors are calculated with the method of image sets.
对三目标的非线性优化设计问题，采用了线性加权和的方法，其中加权因子系用像集方法算出。
Combining the BFGS method with the chaos optimization method, a hybrid approach is proposed to solve nonlinear optimization problems with boundary restraints of variables.
把BFGS方法与混沌优化方法相结合，基于混沌变量提出一种求解具有变量边界约束非线性最优化问题的混合优化方法。
Combining the BFGS method with the chaos optimization method, a hybrid approach is proposed to solve nonlinear optimization problems with boundary restraints of variables.
把BFGS方法与混沌优化方法相结合，基于混沌变量提出一种求解具有变量边界约束非线性最优化问题的混合优化方法。
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