rk4

LSVMK Langrangian Support Vector Machine algorithm LSVMK solves a support vector machine problem using an iterative algorithm inspired by an augmented Lagrangian formulation.

利用K近邻法实现数字识别算法。误差小，识别效率高，网络训练速度快。(K-nearest neighbor algorithm, digital identification algorithm. Error is small, high recognition efficiency and speed of network training.)

一种新型神经网络方法对于粒子追踪测速。与于、普通的单个粒子分析，匹配的算法不同的是，该算法是基于小整体的众多粒子一起分析的。(A new type of neural network method for particle tracking velocimetry)

说明：  用matlab实现jacobi方法和seidel方法的数值积分的例程(Using MATLAB to realize the routine of Jacobi numerical integration and Seidel numerical integration)

KSVD的matlab程序及应用实例，供参考学习。(Program of KSVD and application examples, reference for the study.)

非线性几何的matlab程序，使用matlab进行了仿真。程序代码简洁，有详细注释(Nonlinear geometry of the matlab program, the use of MATLAB simulation. The code is simple, there are detailed notes )

This script will setup the nonlinear simulation (UAV_NL.mdl) and call trim and linearization routines. Select the desired aircraft here in this script, via the "UAV_config()" function call.

根据毕奥-萨伐尔定律推导了运动电荷产生的磁感应强度的公式，用曲面显示运动电荷产生的磁感应强度的分布规律。 通电线段的磁感应强度公式 磁感应线的半径形成等比数列，精确显示了二维磁感应线(Derivation based on the Biot- Savart law of magnetic induction generated by the moving charge formula, the distribution of magnetic induction surface display generated by the moving charge.)

Its matlab code for probability of false alarm.

Face detection using matlab