Dipole-source-grid-method

对于协方差矩阵的一种计算方法，对于地震中的反演约束算法能起到很好的作用。(For a kind of covariance matrix calculation method)

该程序用来对多种物质混合物吸收光谱数据进行分析，拟合出光谱曲线并且得到其各个峰值位置所在。(The program is used for a variety of mixtures of substances absorption spectral data analysis, curve fitting, and by their spectral location of each peak.)

交直流潮流计算程序 交替迭代法 带界面设计 提供一个11节点算例(AC-DC power flow calculation program)

阵列处理作业，MVDR或者其他高分辨方法，由于信号源无法确定，造成估计误差，采用对角加载的 增加单位阵法 ,以及 六源准则法 获取优化结果。(Array processing, MVDR, or other high-resolution method, the source can not be determined, resulting in the estimated error, the use of diagonal loading ' to increase the unit matrix method' , and ' six-source criteria method' to obtain optimal results.)

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.)

matlab中高斯迭代法使用的m文件，可以用于方程组近似值的求解。(m file matlab Gauss iterative method can be used for approximation of solving equations.)

利用ansys的命令流apdl对复合材料储氢瓶进行仿真设计，碳纤维铺层及其加载，最后分析其应力应变。(The composite hydrogen storage bottle was simulated and designed by using the command flow APDL of ANSYS, and the stress and strain of the carbon fiber layer were analyzed.)

子空间学习方法工具箱，包含PCA、LDA、LLE、ISOMAP等经典子空间分析方法(Subspace learning method toolbox, including classical subspace analysis methods such as PCA, LDA, LLE, ISOMAP and so on)

《遗传算法及其在电力系统中的应用》华中科技大学版("Genetic Algorithms and Their Applications in Power Systems" 2002)

ARIMA算法的Python实现，预测时间序列数据。 附两个数据： AirPassengers UK Traffic flow(The Python implementation of the ARIMA algorithm predicts the time series data. Two data are attached. AirPassengers UK Traffic flow)