leaveoneout_lssvm

通过滑动T检验时间序列的变化趋势，一般多用于气象分析(T-test time series by sliding the trend, generally used for weather analysis)

对于abaqus子程序学习的初学者，这是一个学习umat的很好算例,(Abaqus subroutine for beginners to learn, this is a good example to learn umat,)

说明：  计算各种混沌系统李雅普洛夫指数的MATLAB 源程序。(calculating various chaotic system schematic index Lee MATLAB source.)

非线性微分方程的人工免疫网络数学模型，适合于高水平研究者(Nonlinear differential equation mathematical model of artificial immune network, suitable for high-level researchers)

本程序在matlab中运行。 Generate_SystemMatrix是一个计算OSEM，MLEM迭代图像算法中系统矩阵的函数，其用法Generate_SystemMatrix（pixel），为所要重建图像的大小，一般为64,128,256，pixel也大运算越慢。 里面的diedai-test文件是一个简单的MLEM重建算法，其中要加载SystemMatrix矩阵就是Generate_SystemMatrix(128)的结果，注意如果要运行diedai-test，生成的系统矩阵名要保存为SystemMatrix，否则出错。 testsino是一个正弦图实例，就是MLEM算法中的投影矩阵，机算是数据。(This program is run in matlab. The Generate_SystemMatrix is ​ ​ a calculation of the OSEM, a function of the system matrix MLEM iterative image algorithm, its use Generate_SystemMatrix (pixel) to rebuild the image size, usually 64,128,256, pixel also large computing slower. Inside diedai-test file is a simple MLEM reconstruction algorithm, which load SystemMatrix matrix is ​ ​ the result of Generate_SystemMatrix (128), pay attention to if you want to to run diedai-test, the generated system matrix is ​ ​ saved as SystemMatrix, otherwise an error. testsino instance of a sinogram projection matrix MLEM algorithm, machine be regarded as data.)

用最小二乘法进行电力系统状态估计，包含IEEE30节点的电力系统图(Using least squares power system state estimation, including IEEE30 bus power system diagram)

Newton Raphsson Method For solving Numberical Calculation! Written Ba alireza mahdavi(iran)

说明：  三角形网格上的线性有限元方法求解Helmholtz问题，多项式重构以及Richardson外推(solve the Helmholtz equation with robin boundary condition on triangulation mesh, PPR and Richardson extrapolation)

主要是关于一些数值计算中所要用到的头文件,希望对大家有所帮助(Mainly on the number of numerical calculation by the use of header files, I hope all of you to help)

//最小二乘法直线拟合 m_FoldList为关键点(x,y)的链表 拟合直线方程(Y=kX+b) (//linear least squares fitting m_FoldList as the key point (x, y) of Chain fitting linear equation (Y = C/56 b))