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1)  Lower directional derivative
下方向导数
2)  lower second order directional derivative
下二阶方向导数
3)  upper (lower) directional derivative
上(下)方向导数
4)  bound of upper (lower) directional derivatives
上(下)方向导数的界
1.
The bound of upper (lower) directional derivatives for extremal function is given under the M - F constrain criterion.
在M─F约束准则下给出了极值函数上(下)方向导数的界。
5)  directional derivatives
方向导数
1.
A set of first-order necessary optimality conditions based on the the upper and lower bounds of directional derivatives of the optimal value function of lower problem are proposed.
首先,利用下层问题最优值函数的方向导数的上下界的性质给出一阶最优性条件。
2.
The directional derivatives of the multiple eigenvalues are obtained.
本文研究解析依赖于多参数的二次特征值问题重特征值的灵敏度分析,得到了重特征值的方向导数,证明了相应的特征向量矩阵和特征值平均值的解析性,给出了其一阶偏导数的表达式。
6)  direction derivative
方向导数
1.
The extreme value of binary function at f_(xx)f_(yy)-f~2_(xy)=0 is judged by its direction derivative which follows ray starting from stable point and passing point P at every point P in noncentral neighborhood of stable point.
用驻点的去心邻域内各点P处函数沿以驻点为端点的过点P的射线方向的方向导数是否同号,来判定二元函数f(x,y)在fxxfyy-f2xy=0时的极限。
2.
This paper introduces the use of lagrange multiplier method and direction derivative method to solve the conditional extreme problem,and makes a comparison between these two methods.
通常我们在求函数条件极值问题时,原则上将条件极值问题转化成无条件极值问题来进行求解,本文介绍了利用拉格朗日乘数法和方向导数法来解决条件极值问题,并将这两种方法进行了比较。
3.
Using definition of Direction derivative of E-convex functions,it is obtained that characteristic theorem of Direction derivative of E-convex functions and applying this theorem it is obtained that some properties of Direction derivative of E-convex functions which are verified.
在E凸集上,引进E凸函数,定义了广义实值函数的方向导数即沿给定方向的变化率。
补充资料:下方
【下方】
指三涂,即地狱、饿鬼、畜生之三恶道。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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