inverse_preisach

利用abaqus二次开发平台，利用for语言编写的混凝土弹性本构(Use abaqus secondary development platform, the use of language for concrete elastic constitutive)

常微分方程及其方程组的求解. 运用数值计算方法进行计算的完整函数,可以方便的调用.编程语言C-C(Ordinary Differential Equations and their equations. The use of numerical method to calculate the complete function, can easily call. Programming language CC)

本程序提供大量实用多项式计算函数：求一维实(复)多项式值、求一维多项式组值、求二维实(复)多项式值、两一维多项式相乘、两一维多项式除法、计算连分式函数值。(look it yourself.)

说明：  短时傅里叶变换及短时傅里叶反变换的实现，简单可用(The realization of short-time Fourier transform and short-time Fourier inverse transform is simple and available)

金属表面反射模型算法，用于计算不同金属的偏振反射参数。(Metal surface reflectance model algorithm used to calculate the different metal polarized reflectance parameters.)

用雅可比方法求矩阵的特征值和特征向量的FORTRAN程序(Method using Jacobian matrix of eigenvalues and eigenvectors of the FORTRAN program)

三次样条插值的C语言算法,但是总是数据溢出(Cubic spline interpolation C language algorithm, but always data overflow)

非圆形离散元程序，通过采用非圆形颗粒实现康转动性能(Non-circular discrete element program, through the use of non-spherical particles achieve Kang rotation capability)

Matlab codes for Robust PCA multivariate control chart(Robust PCA multivariate control chart mainly consists two steps: Step1 Calculates the robust mean and the robust covariance of original dataset using the minimum covariance determinant (MCD). In MCD technique, finding a subset containing half of the data such that its covariance matrix has the lowest determinant, then using this subset to calculate the robust mean and the robust covariance matrix (Hubert, Rousseeuw, & Branden, 2005) Step2 Standardize data using robust mean and robust standard deviation from Step1. Apply PCA analysis, calculate the principalcomponent score matrix Y=ZA, where Z is the robust standardized data matrix, and A is p*p matrix of eigenvectors (also called principalcomponents))

这是利用C++ 编的fft(This is the C series fft)