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inequality constrains
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  不等式约束
     An optimal acceleration control law, verified in the whole envelope, is studied for variable geometry turbofan engine based on genetic algorithm (GA) and control design with inequality constrains is discussed in this paper.
     研究了变几何涡扇发动机不等式约束下的遗传算法最优加速控制规律,在全飞行包线内进行了仿真计算。
短句来源
     The maximal electric power load of the accepting region is chosen as the objective function, and difference equations of the rotors movement are introduced as equality constrains, and inequality constrains include node voltages, the offsets of the rotor angles with relative to the inertia centre angle of the whole system, the line active powers and generator active powers of feeding region.
     该问题以受电区域所能带的最大负荷值为目标函数,将转子运动方程差分化,形成一系列代数方程,而后作为等式约束引入,以节点电压、发电机转子相对全系统惯性中心的角度差、线路有功功率以及送电区发电机有功功率构成不等式约束
短句来源
     The results of several test systems show that this proposed algorithm has stable convergence, good optimization accuracy, flexibility, strong ability to deal with variable and function inequality constrains, and is suitable for solving multiobjective optimization problem of large scale power system.
     对几个试验系统的计算表明,该算法具有稳定的收敛性能,优化结果精确,灵活方便,处理变量不等式约束和函数不等式约束的能力很强,适合于求解大规模电力系统的多目标优化问题
短句来源
     This paper proposes the method of SQP ( sequential quadratic programming) to calculate voltage/reactive power optimization power flow,considering the minimum losses of transmission line as objective function,the reactive power flow equations as equality constrains and the ranges of a set of voltage and control variables as inequality constrains.
     以网络有功损耗最小为目标函数 ,考虑潮流无功平衡方程的等式约束和一系列电压和控制变量的不等式约束 ,使用 SQP序列二次规划法计算电压无功优化潮流。
短句来源
     The KKT conditions of a nonlinear programming with linear inequality constrains can be transformed into a system of equations by NCP function. Then it is smoothed by Entropy smoothing function.
     带不等式约束的非线性规划,其KKT条件可以通过NCP函数转化为一个非光滑的方程组,然后用熵光滑化函数光滑化,得到一个带参数的方程组.
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  “inequality constrains”译为未确定词的双语例句
     The Generalized Semi-Infinite Programming with Inequality Constrains
     带不等式约束的广义半无限规划
短句来源
     (2) This paper considers nonsmooth multiobjective programming problems with inequality constrains involving locally Lipschitz functions.
     (2)研究了目标函数和约束函数是局部Lipschitz函数的非光滑多目标优化问题。
短句来源
     Three optimality conditions are given for an optimization problem subject to qua-sidifferentiable inequality constrains. And their equivalence properties are proved.
     本文给出了具有不等式约束的拟可微优化问题的三个优化条件,并且证明了它们的等价性。
短句来源
     Some general convexity concepts in Banach spaces are defined. Mond - Weir type dual and Wolfe type dual for any dimension programming with equality and in inequality constrains is discussed.
     在Banach空间中定义了ρ-不变凸的概念,讨论了具等式和不等式约束的任意维规划的Mond-Weir型对偶与Wolfe型对偶.
短句来源
  相似匹配句对
     N. inequality.
     N不等式及Ambrosetti的山路引理证明了方程存在非平凡解.
短句来源
     Inequality
     不等式(之3)
短句来源
     The Generalized Semi-Infinite Programming with Inequality Constrains
     带不等式约束的广义半无限规划
短句来源
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  inequality constrains
Inequality constrains on the measured variables can be handled using quadratic programming methods.
      


In this paper, inequality constrains on the control variables of the servo systems are treated by integral penalty functions. A sub-optimal control system synthesis method suitable for the microprocessor implementation and a practical example are given. The simulation experiments on digital computer have proved that the synthesis method of rapid servo system controlled by the microprocessor is effective.

本文讨论用积分罚函数处理伺服系统控制变量不等式约束,研究了一种适合于微处理机实现的次优综合方法,并给出了一个实例。数字仿真实验证明,这个综合方法是可行的。

with the help of a semi-infinite Gnrdan type alternative theorem, this paper offers the necessary optimality conditions for solutions of multiobjective programming with inequality constrain. It also offers sufficient conditions for solutions with the usual convexity assumption replaced by generalized invex conditon. This research improves the results in [ 1-2 ].

本文利用半无限Gordan型选择定理,对近似拟可微的带不等式约束的函数给出了多目标规划解的必要条件。同时在一类新的广义凸性条件下给出了解的充分条件.此项研究改进了[1-2]中的结果。

A kind of penalty functiton method is proposed for the following nonlinear inequality constrained programming: min f(x) s. t g_j(x)≤0 j=1,...,r where f(x),g_j(x),j=1,...,r, are Lipschitz continuous and ρ-invex but not necessarily differentiable. The algorithm transforms the problem into a series of unconstained nonsmooth optimization ones whose algorithm are simple and robust. It is also proved convergent under some mild conditions.

本文对于一类不可微非线性规划问题提出了一种新的罚函数算法,并建立了收敛定理。

 
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