塑性模型，适用于混凝土高温本构

abaqus子程序fric摩擦材料clough-duncan模型，二三维通用，已经验证(abaqus subroutine frictional material fric)

利用支路追加法求阻抗矩阵,解：输入数据如下: 请输入节点数:n=a 请输入支路数:nl=b 请输入由支路参数形成的矩阵: B=[i j z bc t it ......]其中ij为支路端点，z为支路阻抗，bc为对地电容，t为变压器变比，it表示i端点是否与变压器直接相连。 (Seek additional method using branch impedance matrix)

用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,能量熵的计算，sar图像去噪的几种新的方法。( Monte Carlo simulation method of calculating the American option price and basic description, Energy entropy calculation, Several new methods sar image denoising.)

经验正交函数分析FORTRAN程序，用于变量场的时空结构分离（配套书籍《现代气候统计诊断与预测技术》）。(empirical orthogonal function, FORTRAN procedure, used to separate the spatio-temporal structure of climate variables.)

说明：  利用GA遗传算法解决欺骗函数最优问题，具体问题描述如下，如有问题请与我联系(The deceptive functions are a family of functions in which there exists low-order building blocks that do not combine to form the higher-order building blocks. Here, a deceptive problem that consists of 25 copies of the order-4 fully deceptive function DF2 is constructed for this paper. DF2 can be described as follows: f(0000)=28 f(0001)=26 f(0010)=24 f(0011)=18 f(0100)=22 f(0101)=6 f(0110)=14 f(0111)=0 f(1000)=20 f(1001)=12 f(1010)=10 f(1011)=2 f(1100)=8 f(1101)=4 f(1110)=6 f(1111)=30 This problem has a maximal function value of 750.)

牛顿 非牛顿流体数值模拟源代码，对粘弹性流体湍流减阻进行分析(Newton non-Newtonian fluid numerical simulation of the source code, to analyze the viscoelastic fluid turbulent drag reduction)

说明：  用混合同余法生成两组伪随机数，利用投针试验求圆周率。软件：matlab。(Two groups of pseudo-random numbers are generated by the method of mixed congruence, and the circularity is calculated by the test of inserting needle. Software: MATLAB.)

gm模型 gm模型 gm模型 gm模型 gm模型 GM(1,1)(gm model gm model gm model gm model gm model GM (1,1))

说明：  多元统计分析—基于R- 数据data，讲解多元统计在R中如何实现，对于多元统计软件入门，是很实用的课程(Multivariate Statistical Analysis Based on R language .about data)

说明：  采用误差校正算法改进的粒子滤波器，主要解决粒子滤波局部滤波发散的问题(The use of error correction algorithms to improve the particle filter, the main particle filter to solve the problem of local filtering divergence)