The problem of resource allocation in this scheme is a non-convex non-linear optimization problem.
该模型中的资源分配问题是一个非凸的非线性优化问题。
This kind of non linear optimization problem with constraint has been solved in a practical project. The results are reasonable.
结合工程实例求解这类有约束非线性优化问题，成果合理。
The non linear optimization problem with constraint has been solved by use of the sequential unconstrained minimization technique (SUMT).
用序列无约束极小化方法（SUMT）求解非线性有约束的优化问题。
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。
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。
A method for solving minimax problem is presented, which also can be used to solve linear or constrained optimization problems.
提出了一类解极小极大问题的熵函数法，这种方法也可用来解线性或约束优化问题。
The problem is reduced to a linear convex optimization algorithm via LMI approach.
采用线性矩阵不等式方法，将问题转化为一个线性凸优化算法。
The optimization problem is solved by linear programming technique.
其中引入了线性数学规划方法求解最优化问题。
In this paper a global optimization algorithm is proposed for locating global minimum of sum of linear ratios problem (p) with coefficients.
对带系数的线性比式和问题(p)提出一确定性全局优化算法。
The simplex optimization method about nonlinear programming problem has been used in the mixed acid linear titration and the effect of various factors on computative speed has been discussed.
将非线性规划问题的单纯形加速法用于混合酸的线性滴定计算，同时优化酸浓度及有关条件常数，求出酸浓度的最优解。 讨论了影响单纯形法计算速度的因素。
This process can be described as an integrated optimization problem and to solve it by linear programming is a proper option.
这个过程可以用一个综合优化问题进行描述，采用线性规划法来求解。
Two-step model predictive control is applied, which decomposes the MPC problem into a dynamic optimization problem upon linear model and a static rooting problem of nonlinear algebraic equation.
采用两步法预测控制，即将预测控制问题分解为一基于线性模型的的动态优化问题及一非线性模型的静态求根问题。
Using the linear matrix inequality (LMI) technique, the problem is converted into a linear convex optimization algorithm so that a global optimization solution is obtained. Finally.
采用线性矩阵不等式技术，将问题转化为一线性凸优化算法，可得问题的全局最优解。
The optimization problem is solved with the sequential linear programming algorithm.
优化问题求解采用序列线性规划算法。
For the areas of complex topography, especially mountain area, static is a non-linear hybrid optimization problem with the presence of multi-parameters and multi-extremes.
复杂地形，特别是山地条件下地震勘探中的大静校正问题是一个非线性的、具有多参数多极值的全局优化难题。
By linear weighing-sum method, the multi-objective optimization was converted into a linear programming problem with the evaluation equation. Process parameters were optimized with SQP algorithm.
利用线性加权和法，建立了评价函数，将多目标优化问题转化为单目标非线性规划问题。
Then it USES linear weighting method and main target method to convert the problem of multi-objective optimization into a mono-objective one and works out its solution via exact algorithm.
然后，利用线性加权法和主要目标法将多目标优化问题转化为单目标优化问题，采用精确算法思想进行模型求解。
It is difficult to perform a design optimization of linear twodegrees of Freedom isolation system, because of that it is a nonlinear programming problem under transient impact conditions.
线性两自由度隔振器的瞬态最优设计问题是一类很难求解的非线性规划问题。
Besides static strength, the problem of optimization and design was studied when the failure took place owing to structural linear elastic buckling in this paper also.
在开展结构静强度优化设计的同时，对元件在线弹性范围内的屈曲可靠性优化设计问题做了初步的研究。
GA is an appropriate choice to solve the problem of multi-parameter, large-scale and non-linear complex function optimization like camera calibration.
遗传算法非常适合于解决摄像机标定这类多参数、大范围、非线性的复杂函数优化问题。
The corrective control problem was decomposed into a nonlinear power flow and linear sensitivity computation sub-problem and a sensitivity-based linear programming optimization control sub-problem.
该算法基于连续线性规划技术，将安全校正问题分解为非线性潮流和线性控制灵敏度计算子问题以及基于灵敏度的线性规划控制子问题。
Finally, by using the single ship optimization model, the ship type on the main line is chosen while the fleet deployment problem is simplified into linear programming.
采用线性规划法，将船队规划问题简化为线性规划问题，以年总营运费用最小为目标函数建立船队规划模型。
Finally, by using the single ship optimization model, the ship type on the main line is chosen while the fleet deployment problem is simplified into linear programming.
采用线性规划法，将船队规划问题简化为线性规划问题，以年总营运费用最小为目标函数建立船队规划模型。
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