其主要特点是：采用分步方法，对对流算子与扩散算子分别解析求解。
This method is an analytic scheme of fractional steps for convection operator and for diffusion operator respectively.
实验也表明，选择合适的对称化方法规范扩散算子对于最终的高光谱影像表示有重要的影响。
Experiments also show that selecting suitable symmetrization normalization techniques while forming the diffusion operator is important to hyperspectral imagery representation.
本文给出了光滑流形上扩散过程耦合算子的一般形式，并证明了一类耦合具有耦合的基本性质。
This paper presents a general form of coupling operators for diffusion processes on smooth manifolds, and proves the basic coupling property for a class of couplings.
而反应扩散过程的定义和性质也依赖于其无穷小算子的性质。
The definition and characteristics of the reaction and diffusion process were proven depended on infinitesimal operators.
文章给出了利用模拟退火算法求解一类扩散方程的参数算子识别反问题的一种新方法。
In this paper, a new approach, which is based on simulated annealing algorithm for solving a class of diffusion equation of parameter operator identification of inverse problem, is presented.
采用斜向差分算子，建立斜向隐式差分格式，再结合边界条件，对扩散方程进行求解。
Based on the skew direction difference operator, the implicit skew difference schemes were constructed, and the boundary condition was unified, to solve the diffusion equation.
通过考虑波前扩散、地质条件的影响，设计了消除采集效应和传播效应的保幅算子。
We fully considered the influences of wave front diffusion, geological condition, designed the amplitude-preserved operator which can eliminate the effect of receivers and propagation.
通过改进傅立叶有限差分的延拓算子，补偿了几何扩散损失引起的振幅误差。
We improved FFD extrapolation operator to compensate the amplitude difference generated by geometry diffusion loss.
对流一扩散方程中扩散系数反演问题，可以归结为一个特殊的非线性算子方程求解问题。
The problem of determining the diffusive coefficients can be formulated as one of solving a special nonlinear operator equation.
首先介绍固态中自旋扩散的一般理论，包括半经典描述和建立在投影算子理论上的密度矩阵描述。
This review first summarizes the general theory of spin diffusion in solids, including semi-classical description and the more exact approach, i.
首先介绍固态中自旋扩散的一般理论，包括半经典描述和建立在投影算子理论上的密度矩阵描述。
This review first summarizes the general theory of spin diffusion in solids, including semi-classical description and the more exact approach, i.
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