用线性规划的方法建立遂昌湖山林场用材林龄级调整最优化数学模型。
Using the linear programming method, they have set up a mathematic optimization model for adjusting age-grade of timber forest in Hushan Forestry Farm of Suichang, Zhejiang.
以二元件均衡器为链接模型，以非线性最小二乘法为最优化方式，解决了多节均衡器链接中初始参数值的选取问题。
Taking two-element equalizer as a link model, taking nonlinear least square method as optimum mode, selection problem of initial parameters in multiple node equalizer links is solved.
模型参数用非线性规划的最优化方法进行估计，得到了计算液相当量混合系数的无因次回归方程。
The model parameters are estimated by the optimal method of nonlinear programming, and the equivalent mixing coefficient is regressed in a dimensionless equation.
本文给出了重力式桥墩与明挖基础整体优化设计的数学模型，选择序列线性规划法，并利用线性规划的对偶理论求最优解。
In this paper, a mathematical model for integral optimization design of pier shaft and its foundation is given, and the SLP method and duality theory are applied here to have a optimal solution.
对非线性不等式约束最优化问题进行了讨论，借助广义投影建立求解问题的一个含系列自由参数的统一算法模型。
Optimization problem with nonlinear inequality constraints is discussed. With the help of the generalized projection, a unified algorithm model with a series of free parameters is presented.
但该模型具有非线性、混合离散变量等特点，用常规的优化算法不能求出其最优解。
However, this model is nonlinearity and has mixed discrete variables, and can't be solved by normal algorithm.
最优化非线性波的控制工程常常假设可以得到一个非线性波模型，人们力求优化这些非线性波的性质。
Optimal control engineering of nonlinear waves often assumes that obtaining a model of the nonlinear wave systems is available and one wants to optimize its behavior.
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.
对于高度非线性的城市污水处理厂区间数优化设计模型（IPODM） ，若采用传统的方法求解，不仅计算繁琐，且难以有效地寻找全局最优解。
As we know, classic optimization techniques are not only troublesome in calculation, but also low efficient for the highly non-linear interval parameter optimal design model (IPODM).
在分析REM算法和最优化流控模型的基础上，改用非线性优化理论的变尺度算法计算链路影子价格，从而改进了REM算法。
The REM algorithm is improved on the basis of analysis of REM algorithm and optimization flow control model.
本论文采用两种方法来描述晶体生长率模型的设计，第一种方法是通过采用非线性规划最优化方法（NLP）决定晶体生长率经验公式的参数；
The first way is classical and consists of determining the parameters of the empirical expressions of the growth rate through the use of a nonlinear programming(NLP)optimization technique.
本文应用最优控制理论，建立了非线性成本曲线的系统网络优化模型及计算公式。
Based on the optimal control theory, this paper has established the scheduling model in the system network and the formula of computation of the nonlinear cost-time curve.
在分析REM算法和最优化流控模型的基础上，改用非线性优化理论的变尺度算法计算链路影子价格，从而改进丁REM算法。
The DFP method of non-linear optimization is used to calculate shadow price in link. The REM algorithm is improved on the basis of analysis of REM algorithm and optimization flow control model.
对于一般几何模型的非线性最小均方误差拟合，首先必须定义拟合误差，然后采用非线性最优化方法求解最小误差意义下的最优解。
Firstly, the error of fit must be defined for nonlinear least-square fitting of generalized geometry model. Then the nonlinear optimization algorithm can be used to obtain the optimum solution.
为了使作物生长模型中的参数最优化，提出了一种改进型非线性最小二乘法在作物生长模型中隐含参数估计的应用技术，针对多目标项的情况提出了权矩阵的自动计算方法。
In order to optimize the parameters in a crop growth simulation model, a new method based on nonlinear least squares method was developed for estimation of hidden parameters of crop growth.
本文给出选矿物料平衡的线性计算模型，包括优化模型和最优解的直接计算公式。
In this paper, the linear computational model for the material balance in the mineral processing are given. They included optimization model and direct computational formula of the optimal solution.
针对苯丙氨酸解氨酶生物传感器非线性特性，依据最小二乘法理论，采用最优化技术，建立了最佳拟合直线的数学模型，并给出基于可编程控制器的数据拟合程序。
To solve the non-linear problem of a biosensor, the least square method and the optimum technique have been applied to build a mathematical model to evaluate the optimum fitting straight.
证明了该模型的二阶特性与一个线性平稳arma模型相似，最后给出了该模型的最优化线性预报方法。
It is shown that the second order structure is similar to a linear ARMA model with uncorrelated errors. In the end, the best linear predictors are given for USDBL models.
证明了该模型的二阶特性与一个线性平稳arma模型相似，最后给出了该模型的最优化线性预报方法。
It is shown that the second order structure is similar to a linear ARMA model with uncorrelated errors. In the end, the best linear predictors are given for USDBL models.
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