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compute Bhattacharyya distance between two Gaussian classes

说明：  基于力密度法的索杆张力结构找形程序，压缩包力有算例(power density method based on the structure of cable-form-finding procedures, compressed power is counting cases)

基于MATLAB进行标准化降水指数SPI计算程序，主要用于干旱分级的确定指数。(Standardized precipitation index SPI calculation based on MATLAB program, mainly used to determine the index drought classification.)

编写一个使用KMP算法的字符串匹配程序。 使用方法：字符串匹配.exe -f xxx.txt -s xxx -f 指定要查找的文件 -s 指定要查找的字符串(Writing a string matching algorithm using KMP program. How to use: string matching exe-f xxx.txt-s xxx-f to specify the file you want to find-s to specify the search string)

LS_SVM 偏最小二乘结合支持向量机(The LS SVM partial least squares and Support Vector Machine)

本程序针对内弹道的计算实现火炮内弹道计算(The procedure for the calculation of the interior ballistics Gun Interior Ballistic calculation)

给出变量的上下边界、初值和代价函数，能够搜索代价函数最小值时的变量取值。属于带约束的优化算法，可以用来求算非线性方程组。(STRSCNE is a Matlab code for constrained nonlinear systems of equations F(x)=0 l<=x<=u where F: R^n--> R^n, l and u are vectors of dimension n. Non-existent lower and upper bounds, i.e. entries of l and u equal to minus o plus infinity, are allowed. The algorithm is a globally convergent procedure that combines Newton method and an elliptical trust-region approach. The elliptical trust-region is defined employing a scaling diagonal matrix D and the trust-region subproblem is approximately solved by the dogleg method. Only strictly feasible iterates are generated. Various input/output options are provided, and we refer to the code itself for further documentation. )

不可压缩后稳态径向滑动轴承润滑计算方法，等刚度，不考虑负压(Incompressible steady-state radial sliding bearing lubrication calculation method on the stiffness, do not consider the negative pressure)

利用FDTD算法简单计算波导耦合环的M文件。( M-file of using FDTD approach simulation the waveguide coupling ring)

说明：  二维FDTD程序计算近场模型，包括建模文件以及电磁场递推文件，入射角度为0°。模型时一个介质方柱。(The two-dimensional FDTD program calculates near-field models, including modeling files and electromagnetic field recursion files, with an incident angle of 0. The model is a medium square column.)