方向导数

基于方向导数和B样条小波的图像边缘检测

Image edge detection based on directional derivative and cubic B-spline wavelet

（h，φ）-凸函数的广义方向导数及其性质

Generalized Directional Derivative of ( h ;φ) - Convex Function and its Properties

比如，在i向量的方向导数，就是x轴方向的分量。

So , for example , the directional derivative in the direction of I hat is the component along the x axes .

考虑它的Hadamard下方向导数，给出了它的结构表达式。

The expression of its lower - Hadamard directional derivative is obtained .

用方向导数分析JC法的误差

Analyzing the error of JC method by means of directional derivative

Clarke广义方向导数与普通方向导数相等的一个充要条件

A Necessary and Sufficient Condition for Clarke General Directional Derivative Equals to Common Directional Derivative

Lipschitz规划极值函数上（下）方向导数界的估计

Estimation of the bound of upper ( lower ) directional derivatives for extremal function in Lipschitz programming

所以这个与g=c相切的导数，应该是f的方向导数，在这个方向下，应该是等于0的。

So the derivative in any direction , tangent to g equals c , should be the directional derivative of f , in any such direction , should be zero .

然后利用正切锥方向导数定义一类正切锥F凸函数类，并给出了（VP）正切锥真有效解的充分性条件；

Then , we define a class of tangent cone F convexity in terms of the tangent cone directional derivative , and prove the sufficient optimality conditions for ( VP ) .

本文给出了局部Lipschitz函数的Clarke广义方向导数与普通方向导数相等的一个充要条件。

A necessary and sufficient condition that Clarke general directional derivative is equals to common directional derivative for locally Lipschitz function is given in this paper .

本文提出一种新的三维波动方程P-R分裂偏移方法，即方向导数法三维P-R分裂偏移方法。

The paper describes a new three-dimensional wave equation P-R splitting migra - tion-three-dimensional P-R splitting migration using directional derivative .

然后，引进上、下方向导数和广义Minty型向量变分不等式，研究了问题（VP）的最优性条件。

Then , by introducing upper and lower directional derivatives and generalized Minty type vector variational inequality , the optimality conditions of the problem ( VP ) are studied .

Haralick算法的缺点是曲面拟合系数和方向导数的方向较难确定。

The disadvantage of Haralick is the difficulty for determining the coefficients of the surface fitting and the orientation of the directional second order derivation .

利用Hadamard方向导数这一工具，获得了不等式约束条件下多目标规划问题的约束品性，这一约束品性在某种程度上是Maeda和Preda等人研究结果的进一步推广。

In this paper , we obtain constrain qualifications of multi-object optimal programming with the Hadamard directional derivative , extend Maeda and Preda 's results to some extent .

本文对Lipschitz规划讨论了极值作为扰动向量的函数的微分稳定性.在M&F约束准则下给出了极值函数上（下）方向导数的界。

His paper discusses the stability of differential of extremum which is a function of perturbation vector for Lipschitz programming . The bound of upper ( lower ) directional derivatives for extremal function is given under the M - F constrain criterion .

本文我们首先给出一类向量值优化问题（VP）的正切锥真有效解的定义，在锥方向导数的假设下，讨论了一类单目标问题的最优性必要条件；

In the paper , we give the definition of the tangent cone properly efficient solution for a class of vector valued optimizations ( VP ) . Under the cone directional derivative assumption , we first discuss the optimality necessary conditions for a single objective problem .

引入了相应于矢量场的方向导数。

The directional derivative according to the vector fields was introduced .

锥方向导数和锥次梯度的性质及其在最优化中的应用

The Properties of the Cone Directional Derivative and Application in Optimization

45°方程叠后深度偏移的方向导数法

Directional derivative method for 45 ° acoustic equation poststack depth migration

基于四方向导数信息的图像非线性扩散去噪

Nonlinear Diffusion Model Based on Four Directional Derivatives for Image Denoising

基于方向导数的多光谱图像快速融合新算法

A Novel Fast Multispectral Image Fusion Algorithm Based on Directional Derivative

非凸二层规划的广义方向导数和广义微分

Generalized Directional Derivative and Differential of Nonconvex Two level Programming

讨论了几种不同的方向导数和梯度的定义。

We discuss several different definitions of directional derivative and gradient vector .

我们来用方向导数，来描述一下相同的东西。

Let 's say the same thing in terms of directional derivatives .

一种基于方向导数的边缘直线检测算法

A Novel Edge Line Detection Method Based on Directional Derivative

对于一般的非凸函数，其方向导数不具备任何凸性，可以利用一般正齐次函数的回收函数来给出它的一个上凸近似。

For a general convex function , directional derivative is not convex .

多维微分、方向导数和梯度。

Derivatives in higher dimensions , directional derivative and gradient .

基本上是的，那就是方向导数。

And that 's basically , yes , that 's the directional derivative .

近似已知函数方向导数的误差估计

Error Estimates of Directional Derivatives of Approximately Specified Functions

多维参数线性规划的解分割和方向导数

Partition of solutions and directional derivatives for linear programming problem with higher-dimensional parameters