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混沌理论预测方法，可以进行多步骤预测，方便使用，很用的工具。(chaos a very good sofeward if you have you will find very goog)

说明：  通过三个点坐标，求出圆心坐标。C#代码，主要是算法。(Through the coordinates of three points, the coordinates of the center of the circle are obtained.)

面向对象的有限元程序设计 ——空间8结点等参元的分析计算(Object-oriented finite element program design- space 8 node isoparametric element analysis calculation)

对加速度数据进行二次积分，最终得到位移数据。(Double integration of acceleration data and the final displacement data.)

说明：  利用五点差分格式和Jacobi迭代法，求解精确解和数值解的误差，判断阶数是否正确(Five-point difference scheme and Jacobi iteration method are used to solve the error between exact solution and numerical solution and to judge whether the order is correct or not.)

随机有限元理论教材，是学习随机有限元及可靠度理论的不错东东 (Stochastic finite element theory of teaching materials, are studying stochastic finite element and reliability theory is true Dongdong)

FFT with fix point 2*N

MFC做的计算器程序，可以实现加减乘除。平方，立方等功能(MFC to do calculator program can be achieved subtraction multiplication and division. Square, cubic and other functions)

概念格的构造问题是形式概念分析应用的前提。由于概念格的时空复杂度随着形式背景的增大而可能指数性的增大，有关概念格的生成问题一直是形式概念分析应用研究的一个重点。国内外的学者和研究人员对此进行了深入的研究，提出了一些有效的算法来生成概念格，这些算法一般可分为两类：批生成算法(Batch Algorithm)和渐进式生成算法(Incremental Algorithm )。。 (Concept lattice structure problem is the premise formal concept analysis applications. Since the concept of space-time lattice with the increasing complexity of the form and context may increase exponentially, generating questions about the concept lattice has been a focus of formal concept analysis applied research. Domestic and foreign scholars and researchers conducted a thorough study made a number of efficient algorithms to generate the concept lattice, these algorithms can be divided into two categories: batch generation algorithm (Batch Algorithm) and progressive generation algorithm (Incremental Algorithm ). .)

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.)