RESEARCHDOWNLOAD_R22.19.1301

它将求解域看成是由许多称为有限元的小的互连子域组成，对每一单元假定一个合适的（较简单的）近似解，然后推导求解这个域总的满足条件（如结构的平衡条件），从而得到问题的解。(It regards the solution domain as consisting of many small interconnected subdomains called finite element elements, assumes a suitable (relatively simple) approximate solution for each element, and then deduces that the solution of this domain satisfies the conditions (such as the structural equilibrium condition), so as to obtain the solution of the problem.)

this is a plc program

编制阶跃响应与方波响应相互转化的程序、由阶跃响应数据获得对象传递函数模型的通用程序、由阶跃响应数据获得对象微分方程模型的通用程序。并通过一个传递函数进行验证（阶跃响应和方波响应数据可利用simulink生成）(A program for converting step response to square wave response, a general program for obtaining transfer function model from step response data, and a general program for obtaining differential equation model from step response data are compiled. It is validated by a transfer function (step response and square response data can be generated by simulink))

说明：  支持向量机回归(SVR)理论是建立在支持向量机分类问题的基础上的，确Vapnik通过引入不敏感损失函数 ，将SVM分类理论中得到的结果推广，使其可以用于函数回归。(The theory of support vector machine regression (SVR) is based on the classification of support vector machines. Vapnik extends the results of SVM classification theory by introducing insensitive loss function, so that it can be used in functional regression.)

一个用DELPHI编的酒店管理系统。 其中数据库：SQL Server2000, 只需恢复 My database文件夹中 My database_Data.MDF和 My database_Log.LDF到SQL中即可使用， 不错的，试一试有很多功能-DELPHI series with a hotel management system. These databases : SQL Server 2000, only to resume My database file folders and My My database_Data.MDF database_Log.LDF to SQL can be used well, to test the many functional

ArcGIS Engine的初级例子，vb编写，适应于初学者，对于想学习esri产品的初学者很有用处。-ArcGIS Engine primary example, vb prepared to adapt to beginners who want to learn ESRI products beginners useful.

可以将两幅图片合成为一幅图片，使近看和远看看到的图片不同(You can synthesize two pictures into a picture, so that you can see the pictures near and far away.)

说明：  数据驱动随机子空间识别算法，可自动识别模态特征，包括频率、阻尼、振型(Data driven stochastic subspace identification algorithm can automatically identify modal characteristics, including frequency, damping and mode shape)

说明：  利用大数据处理框架+实时内存计算处理海量数据,再利用协同过滤算法等实现电商系统对于用户购买及推荐类似商品的精准定位(Using large data processing framework + real-time memory computing to process massive data, and then using collaborative filtering algorithm to achieve accurate positioning of e-commerce system for users to purchase and recommend similar goods)

说明：  ActiveMQ服务，简单直接启动即可，方便测试(ActiveMQ service, simply start directly)