▍1. covar
说明: 使用Eviews编写covar程序,实现covar的计算(Using Eviews to write Covar)
这是学习分数阶傅里叶变换,必须的算法这是学习分数阶傅里叶变换,必须的算法这是学习分数阶傅里叶变换,必须的算法(the of fragnaii or fft)
牛人Matthew Pais,精通扩展有限元、abaqus、matlab,此博士论文详尽描述了XFEM的理论与编程思想。 (Professor Matthew Pais who is proficient at Extended Finite Element、abaqus, matlab。This paper describes the the XFEM theory and matlab programm ideas in detail.Now it is open to you ,my friends!)
EKF,UKF,PF,EKPF四种滤波算法的比较和matlab编程,能实现简单的单个目标跟踪滤波(EKF, UKF, PF, EKPF four kinds of comparison and filtering algorithm matlab programming, to achieve a simple single target tracking filter)
改程序用于大地电磁法的一维反演,运用波斯蒂克反演方法(Reform program for the one-dimensional inversion of magnetotelluric method, the use of the Persian Mystic inversion method)
说明: 计算混沌系统的lyapunov指数和poincare截面(Calculation of chaotic systems lyapunov index and cross-section poincare)
实现光学系统的ABCD矩阵传递的模拟,提供各种的模式衍射选着。(kelinsi xitong ABCDjuzhne)
电弧炉对电网影响仿真软件,希望对大家有所帮助(EAF impact on the power grid simulation software, want to help everyone)
再生混凝土细观损伤分析程序,采用随机骨料模型与双折线模型。(Recycled concrete meso-damage analysis procedures, using random aggregate model with two-line model.)
超松弛预处理共轭梯度法,用于求解有限元计算中常见的大型对称稀疏矩阵(Overrelaxation preconditioned conjugate gradient method for solving the finite element calculation of large symmetric sparse matrix)
kriging方法源程序,用于kriging方法构建近似模型,方便易懂(kriging method source,Kriging method used to construct an approximate model, easy to understand)
kriging方法源程序,用于kriging方法构建近似模型,方便易懂(kriging method source,Kriging method used to construct an approximate model, easy to understand)
说明: 该算法用于matlab,主要用于马尔可夫算法(THIS IS For markov algorithms)
butterworth 高通滤波、低通滤波、带通滤波、带阻滤波器程序(Bandpass filter, low pass, high pass, band pass, band stop)
边界元法,可以求解外声场、内声场,在此基础上可以开发出快速边界元法(boundary element method for acoustic problem)
一维热传导方程的求解,包括显式和隐式,及其对比(One-dimensional heat conduction equations, including explicit and implicit, and the contrast)
说明: 一般的最小二乘通常是一次拿到全部的数据, 对所有数据进行统一优化计算得到模型系数。递推最小二乘是以一种递推的方式计算最小二乘,每次使用最新的测量值,来不断更新模型系数。(General least squares usually get all the data at one time, and perform unified optimization calculations on all the data to get the model coefficients. Recursive least squares is to calculate the least squares in a recursive way, each time the latest measured value is used to continuously update the model coefficients.)
godunov方法求解burgers方程,Toro书上的源代码翻译成MATLAB(burgers equation godunov method, Toro books translated into the source code for MATLAB)
说明: 同步压缩变换工具箱,十分强大,学习时频变换的好帮手(Synchronous compression transformation toolbox, very powerful, good helper for learning time-frequency transformation)