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卡尔曼静态滤波在GPS量测数据中的应用。静态模型以待测点的位置和速度作为状态变量，假定系统噪声和量测噪声为高斯白噪声。多数情况下将其看成是一个线性系统。( Application of Calman static filtering in GPS measurement data. The static model is used as the state variable, and the system noise and measurement noise are Gauss white noise. In most cases, it is considered as a linear system. )

matlab实现各种经典回归算法，如最小二乘，ridge，lasso，elastic net等等，以及各种回归算法应用实例。(Many classic regression methods such as least squares, ridge, lasso and elastic net and so on. In addition, some application examples are here indetails.)

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依据感应电机实际参数，利用MATLAB的M函数编写程序，并进行实际的仿真(Based on the actual parameters of the induction motor using MATLAB M-function programming, and the actual simulation)

一个关于fnn应用的例子，大家可以下载一下参考(a example of fnn)

说明：  基于场景的文本定位，使用matlab平台进行图像处理(Scene text localization based on the use of image processing matlab platform)

Calculates photonic band structure for either the bcc lattice of dielectric spheres of dielectric constant epsilon_a in a dielectric background of dielectric constant epsilon_b.(Calculates photonic band structure for ei ther'isnt the bcc lattice of dielectric spheres of di electric constant epsilon_a in a dielectric ba ckground epsilon_b of dielectric constant.)

可以直接运行的无线传感器网络覆盖算法MATLAB代码(Can be directly run the wireless sensor network coverage algorithm MATLAB code)

单纯形法，求解线性规划问题的通用方法。单纯形是美国数学家G.B.丹齐克于1947年首先提出来的。它的理论根据是：线性规划问题的可行域是 n维向量空间Rn中的多面凸集，其最优值如果存在必在该凸集的某顶点处达到。顶点所对应的可行解称为基本可行解。单纯形法的基本思想是：先找出一个基本可行解，对它进行鉴别，看是否是最优解；若不是，则按照一定法则转换到另一改进的基本可行解,再鉴别；若仍不是，则再转换,按此重复进行。因基本可行解的个数有限，故经有限次转换必能得出问题的最优解。如果问题无最优解也可用此法判别。 (Simplex method, for solving linear programming problems common method. Simplex is the American mathematician GB Danzig in 1947 first put forward. Its theory is based on: linear programming problem feasible region is n-dimensional vector space Rn convex set in the multi-faceted, and its optimal value must be if the vertices of a convex set to achieve. Feasible solution corresponding to the vertex is called a basic feasible solution. The basic idea of the simplex method is: first find a basic feasible solution, to identify it and see whether it is the optimal solution If not, switch to another according to certain rules to improve the basic feasible solution, and then identify if still No, the re-conversion, click here to repeat. Due to the limited number of basic feasible solution, it will be converted by the finite optimal solution can be reached. If the problem can also be the optimal solution method has been applied without discrimination. )

数学里的免疫算法，利用matlab编制的(Immune algorithm)