bamu

基于混沌理论进行数据预测的程序，欢欢迎需要的朋友参考下载，并提出修改意见 (, Please feel welcome the reference to a friend download data to predict the process based on chaos theory, and suggest modifications)

考虑了静态传递误差，齿轮几何偏心的影响建立3平行轴齿轮啮合动力学模型(Consider the impact of static geometry eccentric transmission error, the establishment of three parallel shaft gear gear dynamics model)

点云曲面建模，基于距离函数，运用移动最小二乘法，拟合曲面，提取等值面，用于散乱点云的快速三角网格构建(Point cloud surface modeling, based on the distance function, the use of moving least squares method, fitting surface, isosurface extraction for fast scattered point cloud build triangular mesh)

用visual basic编译的布谷鸟算法的源代码,是一种很好地启发式智能算法。(Use visual basic compiler cuckoo algorithm source code, is a good heuristic intelligent algorithm. )

本例是研究断裂问题的ABAQUS 子程序代码，使用Fortran语言编辑，研究扩展有限元的同志们可以借鉴一下。(This example is the study of fracture problems ABAQUS subroutine code, Fortran language editing, extended finite element study comrades can learn it.)

program array 1 dimensi

带LASSO修正的LARS算法 稀疏表示(LARS with LASSO modification Sparse Representation)

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))

说明：  非线性方程 Aitken加速收敛方法 二分法 割线法 牛顿微分改正方法(Nonlinear equation Aitken accelerated convergence method Dichotomy method Secant method Newton's differential correction method)

采用拉格朗日算法求解机组组合问题，采用的是5机系统(Lagrange algorithm for unit commitment problem, 5 machine system)