区域分解算法是在并行机上求解偏微分方程数值解的一种方法。
The domain decomposition is a numerically approximating solution to partial differential equations on parallel computers.
利用球矢量波函数的定义及性质，提取出场的径向分量，将初级场分解为相对于径向的TE波和TM波，避免了复杂的矢量微分运算。
Using the definition and character of vector function, the field is separated to TM wave and TE wave relative tor without complex vector-differential operation.
在相同计算条件下，采用一维、二维离散微分动态规划法，以及大系统分解协调法分别进行求解。
The discrete differential dynamic program method and the large scale system decomposed-coordinating method are adopted to solve the models.
我们在第二章中构造了求解用旋转Q_1有限元离散椭圆型偏微分方程的区域分解方法。
In the second chapter, we present an additive Schwarz preconditioner for the rotated Q_1 finite element discretization of second order elliptic problem.
本文从连续图像出发，将二阶偏微分算子应用于影像函数，利用多重网格算子能得到近似影像的性质，得出一种多分辨影像分解的方法，经过图像重建过程得到融合影像。
Using the so-called approximation of image property by a multi-grid operator, we can derive a method of multi-resolution decomposition of the image, thus the fusion image is formed by reconstructing.
本文提出并采用微分流形理论证明智能机器人体系结构可分解性定理。
In this paper, a decomposability theorem is presented and proved by differentiable manifolds theories.
给出分解后耦合问题的控制微分方程；
The governing equation of the coupled stiffness problem is derived after partition.
首先，论文提出了基于图像小波分解三系数关联去噪方法，利用该方法与偏微分方程中的几何曲率驱动扩散模型相结合，得到高质量恢复图像的图像去噪方法。
In the first, we propose three coefficients Trivariate Shrinkage method, using this technique and geometry curvature-driven diffusion, a new high quality image noisy removal is obtained.
根据有理函数及其导数性质，用微分法把有理函数分解为部分分式的和，给出了一次因式所对应的部分分式各系数和二次质因式前两对系数的计算公式。
Raised the differential method of resolving rational function into fractions, and formulas were suggested of the coefficients which correspond to liner factor and quadratic prime factor.
对三维波动方程做单程波分解，给出了用低阶偏微分方程组逼近上行波方程的2种高阶近似表达式。
This paper performs one-way wave decomposition for 3d wave equation, and 2 kinds of high approximation of up-going wave equation in low order differential equation system are derived.
对三维波动方程做单程波分解，给出了用低阶偏微分方程组逼近上行波方程的2种高阶近似表达式。
This paper performs one-way wave decomposition for 3d wave equation, and 2 kinds of high approximation of up-going wave equation in low order differential equation system are derived.
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