aboat-shuzhi-fenxi

n of the parity check matrix

说明：  本书详细介绍了格子波尔兹曼法的原理，边界条件，具体模型及数值方法，非常适合学习与应用。(This book introduce the theory of lattice boltzmann methods alone with it's boundary conditions,models and numerical methods. It's really a book for us to learn and use.)

线阵天线方向图的画法 可改参量 实现不同参量下的方向图(The Drawing of Line Antenna Pattern)

说明：  三次样条插值的MATLAB程序（三弯矩方程）(Cubic Spline Interpolation MATLAB (3 Moment equation))

说明：  四级四阶龙格库塔格式，求解微分方程的好算法。(Four fourth-order Runge-Kutta format, a good algorithm for solving differential equations.)

说明：  相关性矩阵源代码，用于计算已知数据的相关性系数(Relevance matrix source code, used to calculate the correlation coefficient of known data)

BESO的python程序，对于进行abaqus的二次开发很有帮助，这样可以将有限元单独在abaqus中进行处理，而优化算法则采用python进行编写(BESO python program, for the secondary development abaqus helpful, so that the finite element can be handled separately in abaqus, while the optimization algorithm is written in python)

数值方法的5个重要的算法： 1.[Dirich.m] 求解拉普拉斯方程的狄利克雷方法. 用于偏微分方程的数值解 2.[Hamming.m] 汉明方法是用来修正微分方程的多步预测。 3. [Milne.m] 米尔恩 - 辛普森差分方程求解方法，用于预测校正方法。 4. [Rkf45.m]龙格 - 库塔 - 沃尔伯格错误控制和步骤的方法求解微分方程的近似解 5.[Romber.m]著名的龙贝格积分源代码。计算结果存在并显示为下三角矩阵。(Numerical Methods in five of the more important algorithms: 1. [Dirich.m] to solve the Laplace equation Dirichlet method for the numerical solution of partial differential equations 2.[Hamming.m] Hamming method is the multistep forecast corrected differential equations. 3. [Milne.m] the Milne- Simpson method as a differential equation solver used forecast correction method. 4. [Rkf45.m] Runge- Kutta- Wahlberg error control and step method for solving differential equations approximate solution 5. [Romber.m] the famous Romberg integral source code numerical integration, the presence of computable results show a lower triangular matrix.)

素性检测的miller-rabin算法。。。。。(Primality testing)

使用四阶Runge-Kutta算法解决两个一阶微分方程组，并输出到文件。(solve a two cupled first order differential equations)