fxdemo

说明：  PYTHON入门游戏学习源码 贪吃蛇、大富翁、小人躲球，通过pygame模块编写，质量高可运行(PYTHON introductory game learning source code snake, billionaire, dodge ball, through the pyGame module, high quality and operational)

说明：  岩土工程单轴压缩试验命令流，适用于PFC3D5.0以上版本(Geotechnical uniaxial compression test command flow, applicable to pfc3d5.0 or above)

HTML5化学分子式结构图动画基于jquery.1.10.2.min.js和HTML5 canvas制作，化学分子式结构图漂浮动画。(HTML5 canvas ghost ghost animation code, ghost ghost flying code, horror background animation.)

Garch fit function for MatLab use

贪心算法解最大装载问题-greedy algorithm largest Loading Problem Solution

ATK-MiniFly微型四轴飞行器 原理图(ATK-MiniFly miniature four axis schematic diagram)

一个存在多普勒扩散的qam信号产生程序，主要用于相关仿真工作-a program for qam with doppler

约瑟夫环 1. 本演示程序利用一循环链表,每个结点为一人,类似将人按顺时针方向围坐一圈,每个结点包括,号码,密码.号码是作为排的顺序.密码用来作为下一次报数的数字.当走到结尾时,再下个结点便循环回去,依此类推. 2. 演示程序以用户与计算机的对话方式执行，用户输入相应的数据，输出结果显示在其后。,即总结点数,和密码. 3. 程序执行的命令包括:1)创建链表 2)寻找结点 3)删除结点 4. 测试数据测试数据：m初始值20，n=7，7个人密码依次为：3，1，7，2，4，8，4。首先m值为6，正确出列顺序为6，1，4，7，2，3，5。 -Josephus 1. The demonstration program using a chain cycle, each node to a person, similar to a clockwise direction by people sitting circle, and each node include numbers, Password. As the number is the sequence. used as a password the next few reported figures. When reached at the end, the next nodes will cycle back, and so forth. 2. Demonstration Program to computer users with implementation of the dialogue, the corresponding user input data and output results in later. , Summed up the quota, and password. 3. Procedures for the implementation of the order include : 1) Create List 2) Find node 3) delete nodes 4. test data test data : the initial value of 20 m, n = 7, 7 PIN followed : 3,1,7,2,4,8,4. M value fo

说明：  Jaumann_Umat 和 Grenn_naghdi率用于abaqus二次开发的Vumat用户子程序(Analysis of Grenn_naghdi Rate Display)

说明：  本资源是3层的自编码器加上稀疏正则项约束的matlab代码。隐层激活函数选sigmoid函数，输出层选线性函数，程序中以一个标准数据集sonar为例，使用该方法可以做无监督表征学习，数据压缩，多任务学习等(This resource is a 3-layer self-encoder plus matlab code for sparse regular term constraints. The hidden layer activation function selects the sigmoid function, and the output layer selects the linear function. The program uses a standard data set sonar as an example. This method can be used for unsupervised representation learning, data compression, multi-task learning, etc.)