1) directional partial derivative
方向偏导数
1.
The theory of directional partial derivative in Banach spaces was established.
应用Banach空间中的广义Schauder基,建立了Banach空间中方向偏导数理论,给出了几个重要定理和泛函极小化序列的坐标法构造。
2) derivative on z direction
z 向偏导数
3) 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。
4) 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。
5) directional derivative
方向导数
1.
The directional derivatives of a map in a Banach algebra;
Banach代数上映射的方向导数
2.
Image edge detection based on directional derivative and cubic B-spline wavelet
基于方向导数和B样条小波的图像边缘检测
3.
Partition of solutions and directional derivatives for linear programming problem with higher-dimensional parameters
多维参数线性规划的解分割和方向导数
6) eigenvector partial derivative
特征向量偏导数
补充资料：偏导数
| 偏导数 partial derivative 二元函数z＝f（x，y）沿坐标轴方向的方向导数（或沿坐标轴方向的变化率）。即把z＝f（x，y）中的一个自变量y看作常数，于是z＝f（x，y）就成为关于x的一元函数，给x以改变量Δx，则有z关于x的（偏）改变量Δxz＝f（x＋Δx，y）－f（x，y），如果极限(  存在且有限，就称此极限为二元函数 z ＝f（ x，y ）在 P（x，y）点关于x的偏导数，记作 ，或 （x，y），类似地有
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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