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等几何分析MATLAB程序包,有着丰富的例子,其中fem包内为传统的拉格朗日插值有限元, iga包内为nurbs插值的等几何有限元(This is the README file for the Isogeometric Analysis (IGA) Matlab code. The code supports one, two and three dimensional linear elasticity problems. Extended IGA for hole, inclusion and crack modelling is also implemented.)

A FORTRAN IV function to compute the probability of a standard normal deviate

施威德勒球壳在ansys中的建模分析，APDL语言(Of Schwedler shell modeling in ansys, APDL language)

分维反映了复杂形体占有空间的有效性，它是复杂形体不规则性的量度。它与动力系统的混沌理论交叉结合，相辅相成。它承认世界的局部可能在一定条件下或过程中，在某一方面（形态，结构，信息，功能，时间，能量等）表现出与整体的相似性，它承认空间维数的变化既可以是离散的也可以是连续的，进而拓展了视野。(Fractal dimension reflects the validity of space occupied by complex bodies, which is a measure of irregularity of complex bodies. It combines with chaos theory of dynamic system and complements each other. It recognizes that the part of the world may be similar to the whole in certain conditions or processes (form, structure, information, function, time, energy, etc.). It recognizes that the change of spatial dimension can be discrete or continuous, thus expanding the horizon.)

调试通过可以使用，已调制信号计算其普相关密度，空间目标识别，采用PM算法。( Debugging can be used, Modulated signals to calculate its density Pu-related, Space target recognition algorithm using PM.)

C#写的两个简单的小程序，分别用牛顿插值法和三次样条插值法来进行插值。(A program written by C#. It uses Newton Interpolation Method and Spline Interpolation Method )

基于Wegstein方法的求解方程的C++程序。(Wegstein-based method for solving equations C++ program.)

用C语言实现二重积分数值计算，精度较高；并且仿照程序中实现二重积分的思想，可以很容易扩展到三重以上的积分。(Using C language to achieve double integral numerical calculation, high accuracy and follow the procedures realize the idea of double integral, can be easily extended to more than triple the points.)

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))

适用于ABAQUS的自定义材料子程序，适用于平面单元的随动强化J2模型。(Applies the custom material subroutine in ABAQUS, kinematic hardening J2 model applies to plane unit.)