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说明：  模拟退火算法是为了避免求解最优化出现局部极值的问题而提出的算法，保证最终的结果是全局最优的，该matlab源程序能在matlab环境中实现(simulated annealing method is the best solution in order to avoid a partial optimization of extreme concern raised by the algorithm to ensure that the final result is that the global optimum, the source Matlab can achieve Matlab environment)

基于时间序列法的超短期电力负荷预测 利用时间序列法进行数学建模(Mathematical modeling based on very short-term power load time series forecasting using time series method)

自己写了一个二维Euler方程的间断有限元程序 上次发了一个三角形单元的程序 因为不是曲边单元 所以在圆柱后面容易形成涡 现在把程序改为曲边四边形单元了 没有涡出现 单元是8节点四边形单元 节点编号顺序是 1 5 2 6 3 7 4 8 也就是四个角点依次 是1 2 3 4 然后是边的中点编号 5 6 7 8. 时间推进采用 Runge-Kutta 方法 数值通量采用全局Lax-Friedrichs通量 仍然不能捕捉激波 因为没有做重构或者加人工粘性 等这个做出来了 再发一次。 程序没有进行优化 比如说内存的消耗没有优化 比如直边单元的边界积分仍然采 用了曲边的积分方法 增加了计算量 比如面积分、线积分都是采用的是Gauss- Legendre-Lobatto积分 积分精度会比一般的Gauss-Legendre积分精度低一阶 等 等问题。 二维的 纯属交流性质 就没有考虑这些问题 ^_^ 如果物面全部是直边 那么只要改变一个参数N 就可以获得不同的计算精度 且具 有谱精度 因为单元的节点是Gauss-Legendre-Lobatto积分点。 其实就是谱元法 （物面是曲边的情况我不清楚是不是也可以通过提高基函数的阶数 也就是增加N 来提高计算精度）(Wrote a two-dimensional Euler equations with discontinuous finite element program Last made ​ ​ a triangular element of the program, not curved edge unit is so easy to form a vortex in the cylinder behind the Program to curved edge quadrilateral element vortices appear Unit is the order of 8-node quadrilateral element node number is 15,263,748 which is the four corners of the points in turn Is 1234 and then the side of the midpoint of the number 5678. Time promote the use of Runge-Kutta method Numerical flux of the overall situation of Lax-Friedrichs, flux Still can not capture the shock wave did not do the reconstruction or artificial viscosity do it Zaifayici. The program is not optimized for example, memory consumption is not optimized such as straight-edge boundary integral of the unit is still mining Integral method to increase the amount of computation such as surface integral with a curved edge, the line integral using the Gauss- The Legendr)

三階拉格朗日內差法。使用了Farrow結構，簡化三階多項式係數之運算。(third-order Lagrange interpolation algorithm. use Farrow structure to simplify the coefficients of the polynomial of Lagrange method.)

用matlab编写的cholesky分解程序，希望对大家有些帮助(Matlab prepared using Cholesky decomposition procedures, in the hope that some U.S. help)

说明：  有限元分析视频学习，可用于有限元分析视频学习(Finite element analysis video learning, used for finite element analysis video learning)

基于SVM的数据分类，通过IRIS数据进行验证，效果分类准确(SVM-based data classification, through the IRIS data validation, classification accuracy results)

随机数生成程序，该随机数呈zipf分布，就是大家常说对于内容的访问遵循80/20原则，也就是20 的内容，会占有80 的访问量。(Random number generator, the zipf was distributed random numbers, that is, we often say that the access to the content to follow the 80/20 principle, which is 20 of the content will occupy 80 of visits.)

用递推最小二乘法，使用MATLAB对液面高度进行估计。(using recursive least squares method, using MATLAB surface height estimation.)

十四节点潮流计算程序，采用了经典的牛拉法潮流计算方法 配以注释(14 nodes trend calculation procedure, using the classic cattle Rafah flow calculation method together with the comments)