runge

对格朗日、分段线性、三次样条插值方法的运用。(Grange, piecewise linear, cubic spline interpolation method to use.)

说明：  用PSO-BPNN算法对时间序列数据进行拟合并预测未来一段时间数据(Using pso-bpnn algorithm to predict the future time series data)

改程序用于大地电磁法二维有限元法正演模拟(Reform program for the magnetotelluric method of two-dimensional finite element method for forward modeling)

nsolgm 算法 是求解非线性方程组的一种非常有效而且又快捷的方法(nsolgm algorithm for solving nonlinear equations is a very effective and efficient way and)

说明：  C-means in 2 types. C=2

电力系统继电保护中经常应用的滤波算法，基于电力系统电流信号的傅里叶变换。程序给出了算法的仿真实现。(Power system, Filtering Algorithm, Fourier Transform, Simulation in matlab)

几个使用的解线性方程组的程序，包括高斯消去法，高斯列主元法，高斯——赛德尔消去法。简明实用。(Gauss elimaination, Gauss_seidel ellimination)

包括基本的克里金(Kriging)插值法实现代码，仅实现基本方法部分，不包含扩展克里金方法( kriging uses ordinary kriging to interpolate a variable z measured at locations with the coordinates x and y at unsampled locations xi, yi. The function requires the variable vstruct that contains all necessary information on the variogram. vstruct is the forth output argument of the function variogramfit. This is a rudimentary, but easy to use function to perform a simple kriging interpolation. I call it rudimentary since it always includes ALL observations to estimate values at unsampled locations. This may not be necessary when sample locations are not within the autocorrelation range but would require something like a k nearest neighbor search algorithm or something similar. Thus, the algorithms works best for relatively small numbers of observations (100-500). For larger numbers of observations I recommend the use of GSTAT. Note that kriging fails if there are two or more observa)

递推最小二乘法，辨识模型参数。。。。。。。。。(Least square method model identification)

提供多种nonlinear dynamics函数，包括bifurcation analysis, 和 chaos analysis.(Function of a variety of nonlinear dynamics, including bifurcation analysis, and chaos analysis.)