FFT842

对于abaqus子程序学习的初学者，这是一个学习umat的很好算例,(Abaqus subroutine for beginners to learn, this is a good example to learn umat,)

使用Matlab编程，对教材74页例3.3.1进行编程仿真。其中，正电压A的值、噪声方差值、每个码元周期内的采样点数N自行设定（可设置为可调的变量）。噪声值可使用Matlab中产生高斯随机数的函数来进行仿真。贝叶斯检测判决式中，先验概率P(H1)=P(H0)，判断错误的代价因子设为1，判断正确的代价因子设为0. 按照上述参数的设定进行仿真，实现对仿真数据的贝叶斯检测判决；循环生成仿真数据，并进行判决结果的统计，即记录判决正确的次数，估计正确判决的概率。(The use of Matlab programming, teaching materials 74 pages of 3.3.1 programming simulation. Among them, the value of positive voltage A, the variance of noise, the number of sampling points in each symbol cycle (N) can be set by itself (adjustable variable). Noise values can be simulated using the function of generating Gauss random numbers in Matlab. In the Bias detection decision, the prior probability P (H1) =P (H0), the factor of error judgment is set to 1, and the correct cost factor is set to 0. According to the simulation parameters and realize the judgment of Bayesian detection simulation data; generating cycle simulation data, statistics and decision, which records the correct number of judgment, the estimated probability of correct decision.)

some article about Bayes Thinking

气泡根据内外压力差变化的动网格。。。。。。(bubble dynamic mesh )

说明：  微分进化算法中的其中两个子程序，还有未上传(Differential evolution algorithm)

用雅可比方法求矩阵的特征值和特征向量的FORTRAN程序(Method using Jacobian matrix of eigenvalues and eigenvectors of the FORTRAN program)

最小二乘法拟合曲线C++代码，任意的M个数据，任意的次数N(N不易太高)。输出拟合曲线的表达式(Least Squre For ...)

lagrange插值,用于分数时延滤波器farrow结构系数求解(Lagrange interpolation for fractional delay filter Farrow structure coefficient solution)

说明：  包括我自己写的一些数值分析用到的函数 包括矩阵的LU分解的两种方法, Cholesky分解, 以及线性方程组的迭代解法中的雅克比, 高斯-赛德尔以及线性松弛法的函数(Including myself, used to write some of the numerical analysis functions, including matrix LU decomposition of two methods, Cholesky decomposition, and iterative solution of linear equations in the Jacobi, Gauss- Seidel and linear relaxation method function)

计算流体力学有限体积法程序开源代码改进版本，增加了湍流模型(An improved Edition of open source computational fluid dynamics finite volume method program, increased turbulence model)