离散地

The discrete probability density function of beta distribution was used to express the organs' expansion laws, which was flexible enough to fit a variety of expansion forms.

用离散型Beta概率密度函数描述植物器官的扩展规律，可灵活地适应多种扩展曲线类型。

In Chapter 1, a brief reviews of bifurcation theories and chaos theory for flows and maps are presented.

第一章是关于动力系统的局部分支与混沌的预备知识。简要地介绍连续动力系统和离散动力系统的各种局部分支理论，同时对混沌的一些定义、特征及相关的判别方法也给出简要的介绍。

The paper describes a method of harmonics measurement based on DFT,analyses characteristic of different window function and its influence on harmonics testing,and Blackman window is used to increase measurement precision.

详细地介绍了基于离散傅里叶变换的谐波测量方法，分析了不同窗函数的特征及其对谐波测量精度的影响，并依据军用电站谐波测量特点采用布莱克曼窗提高测量精度。

In this paper,based on the fully consideration of the physical characteristics of wind and snow,a three-dimensional wind field is constructed by discretizing the classic Boltzmann equation.

在充分考虑风雪具体物理特性的基础上，通过对经典Boltzmann 方程进行离散来构造三维风场，并根据风雪的交互作用规律，建立起雪的飘动、沉积、侵蚀等变化规则，进一步采用一系列简化和加速绘制的方法，具有真实感地实时绘制出不同风速下不同降雪量的风雪场景。

In order to effectively abstract the texture and denoise but not damage the edge and other important details of image, Meyer (2001) proposed using elements of BV space and G space to characterize cartoon and details of image respectively. The authors present PDE of minimizing energy on the basis of Meyer's work, After the model is discretizated. projection algorithm and the method for ROF model are applied. Thus an image is decomposed into two parts, bounded variation component u and texture with noise υ.

为有效地提取纹理和去噪而不损坏图像的边缘及其他重要细节，Meyer(2001)提出了分别用BV空间和G空间刻画图像的主体和细节部分，笔者在Meyer的图像分解模型基础上，建立能量最小化PDE方程，将模型离散化后，利用投影算法和ROF模型的求解方法，将图像分解为有界变差部分u和包含纹理和噪声的部分υ。

The segregation of the binary granular mixture in Brazil nut problem was simulated by using discrete element model. The influences of the frequency and the amplitude of the vibration on the segregation are discussed.

采用离散单元模型对巴西果问题进行了模拟研究，采用本数学模型可以准确地预测出垂直机械振动导致的不同大小颗粒的分离现象。

It is the urgent affairs to assess the production capability by rule and line in the new production measures in the violent market competition.

在激烈的市场竞争中，在新的生产方式状况下，如何准确地评定生产能力已经成为许多离散型企业的当务之急。

Traditional method to coarsen and disperse the spatial data to lower administer unit in order to let spatial data be agreement to statistic data loses some spatial information. The comprehensive indexes got from these data of course cannot express the land-use spatial differentiation regularity well.

传统的研究方法是将空间数据"粗化"和"离散化"到行政单元上，与统计数据匹配，结果失去了一些指标的空间分布信息，得到的综合评价指数并不能较好地反映区域土地利用的空间分异规律。

Therefore, in this article,we first discussed the compound negative binomial, it able to simultaneously fitthe claim size and the claim number. At the same time, we studied the sum of themutually independent compound negative binomial and the sum of the mutuallyindependent compound negative binomial with discount factor and the sum of themaximal compound negative binomial; Next, for the claim data to be better fitted, this article has establishedthe superposition distributed model about the weighted average of the discreterandom and has discussed the estimation method of the parameters of thesuperposition distribution; Once more, we in detail elaborated the NCD which based on the claim numberand the NCD which based on the claim size and the claim number. Besides, weestablished an applied NCD model which also based on the claim size and the claimnumber; At last, we introduced the rewards and punishment coefficient of automobiletravel region into the applied NCD model, availably consummated the present NCD.

因此，本文首先讨论了能拟合索赔额大小和索赔次数的复合负二项分布，并对相互独立的复合负二项分布的和、带有折现因子的相互独立的复合负二项分布的和以及最大复合负二项分布进行了研究；其次，为了更好地拟合索赔数据，本文建立了离散随机变量加权平均的叠加分布模型，并讨论了其中的权数的估计方法；再次，本文详细阐述了基于索赔次数的无赔款优待系统、考虑索赔次数和索赔额大小的无赔款优待系统以及应用型的同时考虑索赔次数和索赔大小的无赔款优待系统；最后，本文在无赔款优待系统中引入了汽车行驶区域奖惩系数，对现行的无赔款优待系统进行了完善。

In processing high sampling data system, discrete time model using delta operator approaches corresponding continuous time model, and the results also tends to the corresponding ones of its continuous counterpart.

在处理高速采样过程时，Delta算子离散模型接近于原来的连续模型，所得结果也趋近于连续模型的相应结果，较好地解决了传统的移位算子方法在高速采样时引起的数值不稳定问题。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。