minonlntool

非线性微分方程的人工免疫网络数学模型，适合于高水平研究者(Nonlinear differential equation mathematical model of artificial immune network, suitable for high-level researchers)

实现矩阵转置并且方便观看，第二个程序用于进行对海表面高度SSH进行EOF分析，第三个程序进行海陆点分离并写为NC文件(Matrix transpose and convenient to watch the second program for the EOF analysis of sea surface height SSH third program separation of land and sea, and write for NC files)

说明：  使用Eviews编写covar程序，实现covar的计算(Using Eviews to write Covar)

实现构建矩阵，矩阵的相加，相减，清零，以及转置，还有相乘的功能。(To build matrix, the matrix addition, subtraction, reset, and transposed, and the function of the multiplication. )

一对一分配 匈牙利算法 无人机目标分配 目标静止(One-to-one assignment)

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)

读取zygo干涉仪中的dat格式数据，并转化为矩阵格式(Reads the dat format data in the Zygo interferometer and transforms it into a matrix format.)

最小二乘法和支持向量回归机相结合无线传感网络节点定位的源码.(The source of The least squares and support vector regression combining wireless sensor network node positioning . )

格子玻尔兹曼 圆柱绕流 Python编写(lattice boltzmann flow around a cylinder, using Python. very fast because of numpy library)

数值分析实验1.明确插值多项式和分段插值多项式各自的优缺点； 编程实现拉格朗日插值算法，分析实验结果体会高次插值产生的龙格现象；(Experiments of numerical analysis 1. Define the advantages and disadvantages of interpolation polynomials and piecewise interpolation polynomials. The Lagrange interpolation algorithm is programmed, and the Runge phenomenon produced by high-order interpolation is analyzed.)