查询词典 discrete

The main content of the study includes: the policy variables are classified into two types, which are continuous policy variable and discrete policy variable, and the two variable is analyzed respectively; as to the continuous policy variable, use reasonable weighting to synthesize comprehensive policy indicator to reflect the comprehensiveness of each main policy indicator; undertake regression analysis for the comprehensive policy indicator, economic and stock market variable and get the effect of all kinds of comprehensive policy indictor variables on the economy and stock market; undertake regression analysis for data on the economic indicator and the data on the stock market and get the relationship between the economy and the stock market; use event research method to analyze its effect on the stock market and get some corresponding conclusions; structure the differential or difference equation groups on the interactive relationship among the variable economy, stock market and policy and do the difference operation and constitute simultaneous equation with the original main variables one after another; use quantitative regression method and solve the coefficient of the simultaneous equation to predict the operating tendency.

本研究主要内容包括：将政策变量划分为连续性政策变量和离散政策变量两个类型，并分别进行分析；对于连续性政策变量，采取合理的权重来合成政策综合指标，反映各主要政策指标的综合力度大小；将各政策综合指标与经济、股市变量进行回归分析，获得各类政策综合指标变量对经济、股市影响程度的大小；将经济指标数据与股市数据进行回归分析，获得经济与股市之间关系的大小；采取事件研究方法来分析其对股市的影响程度；构建关于经济、股市与政策各主要变量之间互动关系的微分或差分方程组，进行差分运算，并以此与原来各主要变量组成联立方程；运用计量回归方法，求出联立方程系数用于预测。

Difference equation is a sort of powerful means to investigate the rule of the discrete natural phenomena.

差分方程是描绘离散型自然现象变化规律的强有力工具。

Both finite element method and discrete operator difference method can be pushed forward from which.

由该方程不仅可以得到有限元法，还可得到离散算子差分法。

When discrete characteristic of digital images is considered, finite difference approximates differential operator.

考虑数字图像离散化特征，用有限差分近似微分运算，将由PDE描述的反射图方程转化为关于未知高度的代数方程，然后使用迭代算法求解，得到新的SFS算法。

On the other hand,the structure of differential operator and that of difference operator are very similar,therefore,it is a urgent task to find in the current scientific research a new theoretical framework,which can unify the continuous systems and the discrete ones for the sake of study in order to not only avoid unnecessary repetition in work but also be able to make better insight into the nature of the differences among different systems.

因此，能否找到一个新的理论框架，将连续系统与离散系统统一(来源：9dABC论9e9e文网www.abclunwen.com)起来进行研究，从而避免不必要的重复工作，且能更好的洞察不同系统之间的本质差异，已是当前科学研究的当务之急。

Two eight-node brick elements were generated using discrete operator difference method.

给出了两个八结点块体单元，虽然单元中位移函数是非协调的，不需特殊处理便可保证离散格式收敛，并对单元位移有十分好的反映能力。

In these years,some re-search works have began to consider the discrete Integrable equations,i.e.replace thepartial differential operator by the difference operator.

近年来，随着经典可积系统理论的不断完善，可积系统方面的研究逐渐开始转向离散可积系统，即用差分算子代替微分算子来构造可积系统，目前该方向的研究正在蓬勃发展。

Since we adopt Newton interpolation of difference quotient from the discrete data pool of unequal distance node among the scaled temperature (20℃, 1000℃), aluminum purity and aluminum density, it can greatly be approached.

我们从刻画的温度( 2 0℃、1 0 0 0℃)、铝纯度与铝密度间不等距结点的离散数据集中、采用了Newton差商插值、能极好地加以逼近、从而建立了高精度的四阶非线性数学表达式、由此从该模型中给出了 2 0℃时的高纯度铝( 99 999%～ 99.99999%)的密度值，其结果令人满意。

College: Differential and Integral Calculus, Differential Equations, Linear Algebra, Probability and Statistics, Discrete Math

大学：微积分，微分公式，线性代数，概率和统计，离散数学

Among used machine learning methods, the gradient descent method is widely used to train various classifiers, such as Back-propagation neural network and linear text classifier. However, the gradient descent method is easily trapped into a local minimum and slowly converges. Thus, this study presents a gradient forecasting search method based on prediction methods to enhance the performance of the gradient descent method in order to develop a more efficient and precise machine learning method for Web mining.However, a prediction method with few sample data items and precise forecasting ability is a key issue to the gradient forecasting search method. Applying statistic-based prediction methods to implement GFSM is unsuitable because they require a large number of data items to model a prediction model. In the contrast with statistic-based prediction methods, GM(1,1) grey prediction model does not need a large number of data items to build a prediction model, and it has low computational load. However, the original GM(1,1) grey prediction model uses a mathematical hypothesis and approximation to transform a continuous differential equation into a discrete difference equation in order to model a forecasting model.

其中梯度法是一个最常被使用来实现机器学习的方法之一，然而梯度法具有学习速度慢以及容易陷入局部最佳解的缺点，因此，本研究提出一个梯度预测搜寻法则(gradient forecasting search method， GFSM)来改善传统梯度法的缺点，用来提升一些以梯度学习法则为基础的分类器在资讯探勘上的效率与正确性；而一个所需资料量少、计算复杂度低且精确的预测模型是梯度预测搜寻法能否有效进行最佳解搜寻之关键因素，传统统计为基础之预测方法的缺点是需要较大量的数据进行预测，因此计算复杂度高，灰色预测模型具有建模资料少且计算复杂度低等优点，然而灰色预测理论以连续之微分方程式为基础，并且透过一些数学上的假设与近似，将连续之微分方程式转换成离散之差分方程式来对离散型资料进行建模及预测，这样的作法不尽合理，且缺乏数学理论上的完备性，因为在转换过程中已经造成建模上的误差，且建模过程仅考虑相邻的两个资料点关系，无法正确反应数列未来的变化趋势。

Singer Leona Lewis and former Led Zeppelin guitarist Jimmy Page emerged as the bus transformed into a grass-covered carnival float, and the pair combined for a rendition of "Whole Lotta Love".

歌手leona刘易斯和前率领的飞艇的吉他手吉米页出现巴士转化为基层所涵盖的嘉年华花车，和一双合并为一移交&整个lotta爱&。

This is Kate, and that's Erin.

这是凯特，那个是爱朗。