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基于交替方向乘子法的非负矩阵分解算法，主要用于盲分离(Alternating direction multiplier method based on non-negative matrix factorization algorithm, mainly used for blind source separation)

根据 Cijkl 计算各向异性介质不同方向的速度(According to Cijkl, the velocities of anisotropic media in different directions are calculated)

为了提高三级倒立摆系统控制的响应速度和稳定性,在设计Mamdani 型模糊推理规则控制器控制倒立摆系统稳定的基础上, 设计了一种更有效率的基于Sugeno 型模糊推理规则的模糊神经网络控制器。该控制器使用BP 神经网络和最小二乘法的混 合算法进行参数训练,能够准确归纳输入输出量的模糊隶属度函数和模糊逻辑规则。通过与Mamdani 型控制器的仿真对比, 表明该Sugeno 型模糊神经网络控制器对三级倒立摆系统的控制具有良好的稳定性和快速性,以及较高的控制精度。(In order to improve the three-level control of inverted pendulum system response speed and stability, in the design of Mamdani-type fuzzy inference rules of the system controller to control the stability of inverted pendulum on the basis of a more efficient design based on Sugeno-type fuzzy inference rules of fuzzy neural network controller. The controller is the use of BP neural network and hybrid least squares training algorithm parameters can be accurately summed up the amount of input and output fuzzy membership function and fuzzy logic rules. Mamdani-type controller with a simulation comparison shows that the Sugeno-type fuzzy neural network controller for the three-tier control of inverted pendulum system with good stability and fast, as well as a higher control precision.)

abaqus中的三微裂纹扩展，一起学习下(the abaqus of three micro-crack propagation, with learning under)

说明：  fortran 学习软件非常有用啊，请管理员加我。

说明：  用C语言编写多元线性回归方程，写得不好的地方请指教！(Using C language multiple linear regression equation, where poorly written, please advice!)

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.)

8.1 最小二乘曲线拟合hpir1.c 8.2 切比雪夫曲线拟合hchir.c 8.3 最佳一致逼近的里米兹法hremz.c 8.4 矩形域的最小二乘曲面拟合hpir2.c(8.1 Least-squares curve-fitting hpir1.c 8.2 Chebyshev curve fitting the best uniform approximation hchir.c 8.3 years Meeds law hremz.c 8.4 rectangular domain least-squares surface fitting hpir2.c)

说明：  算法知识讲解，是一本不错的算法入门级教材的pdf版本(This is a good introduction to algorithm)

说明：  matlab调用cplex12.1的例子，这些例子对matlab的cplex接口函数做了非常详细的说明，适用于cplex-matlab的初学者(matlab call cplex12.1 the examples that the cplex interface function of matlab to do a very detailed explanation for beginners cplex-matlab)