这个微分方程的，解法是什么呢？
建立了在该状态下的运动微分方程。
Motion differential equation is established in this condition.
其运动方程是一个非线性微分方程。
想要知道如何解决微分方程么？
微分方程简单说是含有导数的方程。
A differential equation is simply an equation that contains a derivate.
谁能把常微分方程公式表贴上来？
这是研究正倒向随机微分方程的基础。
This work is a foundation of the study of forward-backward equations.
常微分方程是大自然的语言。
The Ordinary differential equation is the language of the nature.
我们不再讨论微分方程序。
第二类为时滞依赖于状态的微分方程。
这是一个，由电场e确定的偏微分方程。
It is a partial differential equation satisfied by the electric field e.
该控制微分方程求解简便。
The solution of the governing differential equations is very easy.
对水击微分方程的重力项也进行了讨论。
The gravity component in water hammer differential equation has also been discussed.
如何通过ID在偏微分方程得到的元素？
因此可以马上写下，这个微分方程的，解法。
So you can write down immediately the solution to this differential equation.
常微分方程中经典的存在性定理不能使用。
Often the existence axioms of classic in the differential calculus square distance can't use.
一阶拟线性偏微分方程。
例如，这个解决方案的微分方程是一个功能。
For example, the solution of a differential equation is a function.
得到一个微分方程。
所以你要做的第一件事是你写下，你的微分方程。
So the first thing you do is your write down your differential equations.
这是个微分方程。
在求解气相场微分方程时用SIMPLE方法。
本文主要讨论偏微分方程在图像去噪中的应用。
In this paper, we will discuss the application of PDE in image denoising.
该模型是一个偏微分方程系统的自由边界问题。
The model is a free boundary problem for a system of partial differential equations.
讨论一种新的图像分辨率增强的偏微分方程模型。
This paper discusses a new partial differential equation model for resolution enhancement of image.
本文由费马原理的变分形式，导出光线微分方程。
Ray equation is derived from Fermat's principle in variation form.
偏微分方程就是，跟函数各个偏导数有关的方程。
A partial differential equation is an equation that involves the partial derivatives of a function.
这将是对偏微分方程数值分析方法的新的重要尝试。
This is a important attempt for the numerical analysis methods of PDEs.
最后，给出了上述问题在偏微分方程方面的一个应用。
At last, an application of this problem in partial differential equation is also discussed.
最后，给出了上述问题在偏微分方程方面的一个应用。
At last, an application of this problem in partial differential equation is also discussed.
应用推荐