polynominal

hough变换用于直线的检测，适用于计算机视觉的初学者，简单容易理解。。。(hough transform for line detection, computer vision for beginners, easy to understand. . .)

计算两个日期的和或差，以及计算一个日期和一个天数的和或差，(Calculate two dates and or poor, and to calculate a date and a number of days and or poor,)

运用丹麦法对实验数据进行抗差估计，适用于含粗差的数据(Danish Act on the use of experimental data robust estimation for data with outliers)

Local feature extraction in fingerprints by complex filtering

v线性调频信号的产生 线性调频信号的产生 线性调频信号的产生(chirps signs)

说明：  克里格法（Kriging，KRG）是由法国统计学家 Matheron 于 1963 年提出的，为纪念南非金矿工程师 Krige（Krige, 1951）曾于 1951 年使用回归方法对空间场进行预测的开创性研究，Matheron 将该方法命名为 Kriging，最开始该方法常被用于对矿产储量分布情况进行预（Matheron, 1963）。目前该方法作为最常用的空间插值算法，被广泛应用于地理科学、环境科学、大气科学等研究中。(Kriging (KRG) method was proposed by Matheron, a French statistician, in 1963. In order to commemorate the pioneering research of Krige (1951), a gold mine Engineer in South Africa, who used regression method to predict the spatial field in 1951, Matheron named this method Kriging. At first, this method was often used to predict the distribution of mineral reserves (Matheron, 1963) . At present, as the most commonly used spatial interpolation algorithm, this method is widely used in geographical science, environmental science, atmospheric science and other research.)

数值解法 例1 用改进的欧拉方法求一阶方程初值问题的 数值解 例2 数学摆的运动方程与近似方程数值解比较 例3 四阶龙格库塔公式求数值解 Matlab实现求数值解 例1 求初值问题y =x*sin(x)-y,y(0)=0的数值 解.先编辑一个定义方程的ODEF函数文件 ODEfun1.m. 例2 求方程组初值问题的数值解,按指定步长 0.05划分节点. 例3 按指定的精度求高阶方程初值问题的数值解.(Numerical Solution of the law a method of using the improved Euler' s equation of order to a first-order initial value problem of the numerical solution of cases of two mathematical pendulum equations of motion compared with the approximate numerical solutions of equations of three cases of fourth-order Runge-Kutta numerical solution of the formula Matlab order to achieve the numerical solution of demand cases seeking an initial value problem y ' = x* sin (x)-y, y (0) = 0 the numerical solution. first, the definition of an equation editor ODEF function file ODEfun1.m. cases of two demand equations initial value problem of numerical solution, according to the specified division of the node step 0.05. Example 3 according to the specified precision of seeking higher-order equation of the numerical solution of initial value problem.)

The composition of functions using neural networks. The functions which will be plot: - u(x) - σ(x) - f(x)=σ(u(x))

灰色预测程序，由于少数据量的预测比较准确(Grey forecasting process is a more accurate forecast, due to a small amount of data)

it is the code for lsb steganography