javaquxianjifen

说明：  基于python的多项式曲线拟合，本程序以1 3 5 9次为例子。(Based on the polynomial curve fitting of python, this program takes 1 3 5 9 times as an example.)

该程序是一种最小二乘滤波算法的matlab实现程序，主要应用于非平稳信号的干扰抑制中(The program is a least squares filtering algorithm matlab implementation program, mainly used in non-stationary signal interference suppression in)

nondominated sorting genetic algorithms，nsga2的c语言源代码，比较好。(nondominated sorting genetic algorithms，nsga2 c-language source code better.)

数值计算资料 13个独立的实验，涉及矩阵、微积分、统计等等(numerical calculation)

排样算法，用于矩阵排样优化，仅供参考，有错误请原谅，( ⊙ o ⊙ )啊！(Nesting algorithms for matrix layout optimization purposes, there is an error, please forgive me, (⊙ o ⊙) ah!)

说明：  分形理论计算，粗糙面结合面的法向载荷和法向接触刚度计算(fractal thoetry simulation)

Fortran编的关于分子动力学模拟的程序(Fortran programs compiled on the molecular dynamics simulations)

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)

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))

一个基于matalb和fortran的大地电磁2维正演模拟程序(A program in MATLAB and FORTRAN for two-dimensional magnetotelluric inversion)