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1)  lagrange multiplier
拉格朗日乘数
1.
The reliability optimized allocation model of complete flue gas desulphurization system including all the equipment and control sub-systems are distributed by using the method of Lagrange multiplier in this paper.
提出了包含控制系统的完整烟气脱硫系统可靠性分配模型,并利用拉格朗日乘数法,对系统内各设备及相应控制系统进行可靠性优化分配。
2)  Lagrange multiplicator law
拉格朗日乘数法
1.
Based on the ratio of middle to outside law design idea,the application target programming method is used to establish a simplification model and improvement model based on the most superior design of can shape and the size,and the simplification model is solved by the Lagrange multiplicator law.
基于黄金分割律的设计理念,应用目标规划的方法建立了易拉罐形状和尺寸最优设计的简化模型与改进模型,以拉格朗日乘数法求解了简化模型,利用mathematic求出了改进模型数值解,并通过测量数据进行了验证。
3)  Lagrange multiplier method
拉格朗日乘数法
1.
By using the Lagrange multiplier method to find the extreme values of multivariate function,the distance formulas from a point to a straight line,a point to a plan and between two nocoplanar straight lines were established.
利用求多元函数极值的拉格朗日乘数法,推导了点到直线、点到平面及两异面直线间的距离公式,并推导了椭球面上平面截线的面积公式。
2.
IN the paper,I slolve the extreme problem of the dual function determined by the implicit function ,using Lagrange Multiplier Method and Dual Function extreme conditions exist to the full.
本文利用拉格朗日乘数法与二元函数极值存在的充分条件,解决了求由隐函数确定的二元函数的极值问题,从而简化了二元隐函数求极值的运算。
3.
This paper has,from the Lagrange multiplier method,discussed the condition limit of a class quadratic form and brought out the main result,applying which to solve the condition limit of function of several variables.
拉格朗日乘数法入手,讨论一类二次型的条件极值问题,给出了主要结果,并应用它求解多元函数条件极值问题。
4)  Lagrange Multiplier
拉格朗日乘数法
1.
By means of the Lagrange Multiplier, this paper points out the position of celestial bodies when their azimuth varies the slowest during diurnal motion, thus consummating the conclusion concerned.
拉格朗日乘数法确定天体周日视运动过程中方位变化速度最慢点的位置,从而使有关结论完整化。
2.
An efficient iterative Lagrange multiplier approach is devel-oped to design the filter banks.
本文使用了拉格朗日乘数法,通过迭代实现了原型滤波器的设计。
3.
This article tries to present a proof to Lagrange multiplier in the condition of n functions with m additional conditions.
本文就n元函数在m个附加条件下,给出拉格朗日乘数法的一个证明。
5)  lagrange multiplier approach
拉格朗日数乘法
6)  lagrange method of multipliers
拉格朗日乘数法
1.
Furthermore, utilizing the Lagrange method of multipliers and the implicit theorem to work out the critical value which makes one of those inequality locally inverted.
然后利用拉格朗日乘数法与隐函数定理,求出了使其中一不等式局部反向的临界值。
补充资料:拉格朗日插值法
拉格朗日插值法。当掌握的资料多于两项时,根据已知多项对应资料,可用拉格朗日插值法估计某项对应的未知数值。这种方法是线性插值多项式的推广。
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