FFT

基于前推回代法的电力系统潮流计算程序。 需要输入支路阻抗和节点功率矩阵。包括支路号、首节点号、尾节点号、支路自阻抗、尾节点给定功率。 输出各节点的电压幅值、相角和各支路电流。(Power flow calculation program based on the forward and backward substitution method. Need input the branch impedance node power matrix. Including branch number, node number, the tail node number, branch self-impedance tail node given power. The output node voltage amplitude, phase angle and current of each branch.)

频域二维卷积算法，通过在频域用fft计算，加速了卷积的实现过程(Frequency domain of two-dimensional convolution algorithm, by calculating the frequency domain using fft and accelerate the realization of the convolution process)

FFT/IFFT 变换程序----------------(FFT/IFFT transformation process----------------)

求解实系数方程组的高斯消去法，约当法，追赶法，分解法，平方根法，大型稀疏方程组法(Solving real coefficient equations of the main Gaussian elimination, about the law to catch up with France, large-scale sparse equations.)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method between the method and Newton' s method, it takes only a first derivative information, but to overcome the steepest descent method convergence slow shortcomings, but also to avoid the Newton method needs to be stored Hesse and disadvantages of computing inverse matrix and the conjugate gradient method is not only one of the most useful methods to solve large linear equations, solution of large-scale nonlinear optimization is one of the most effective algorithm. In various optimization algorithm, conjugate gradient method is a very important one. The advantage is that a small amount of memory required, with step convergence, high stability, and does not require any external parameters.)

dea的ccr模型、超效率模型的m文件和实例(The CCR model of DEA, the M files and examples of the super efficiency model)

CS算法OMP该进算法，对傅里叶与 的信号进行稀疏采样(Compressive Sensing OMP)

主要是基于matlab编程的机器学习的各种算法的实现，对补补基础很好(Matlab programming machine learning algorithm, Bubu basis of good)

改进的burgers模型，非常适合学习UMAT的同志们学习，来自廖公云老师的《ABAQUS有限元软件在道路工程中的应用》(Improved burgers model is ideal for learning UMAT comrades learn from Liao Gongyun teacher "ABAQUS finite element software road works)

打靶法求解两点边值问题 实例测试通过，可直接运行，并带有详细代码注释 采用全局收敛的牛顿-拉普森迭代算法求解编制问题 绝对物超所值！(Two-point boundary value problem shooting method)