搜索资源列表
DEM2Contour
- 基于GRID格式DEM的等值线追踪算法（已删除编译目录），可用于多种散点插值生成的格网，只需将格网数据写成GRID格式的文本即可．
MAIN 3-DIMENSIONAL CFD-PROGRAM
- #//u(i,j) x方向的速度u;或者θ方向速度uθ #//u(i,j) y方向的速度v;或者径向速度ur'h\K #//pc(i,j) 压力修正 p'[OS #//p(i,j) 压力p-=5-+ #//p(i,j)
sas
- 运用sas对散点进行非线性回归的模拟，得到较好的结果。-Sas on the use of non-linear regression to scatter the simulation, get a better result.
SPHYSICSgen3D
- SPHYSICS3D 的前处理程序，可以生成参数文件，与复杂地形的三维散点图。-SPHYSICS3D pre-treatment process, can generate a parameter file, with the complex terrain of the three-dimensional scatter plot.
SPHYSICSgen2D
- 二维SPH前处理程序。可以生成参数文件，与二维散点粒子坐标。-Two-dimensional SPH pre-processing procedures. Parameter file can be generated, and two-dimensional scatter particle coordinates.
p62
- 由已知的一些散点，用最小二乘法来拟合多项式。-Some scattered points from the known, the least square method to fit the polynomial.
VorDiv
- !涡度和散度的计算程序 !根据格点风场计算 ! 均乘了10的6次方 ! 2009.09.4 zhangxiunian-! Vorticity and divergence of the calculation procedure of the wind field calculation grid are multiplied by 10 ^ 6! 2009.09.4 zhangxiunian
HG
- 回归方程计算函数，并在同一窗口中绘制散点图和回归线图,拟合测定函数，求相关系数-Regression equation function and draw a scatter plot and regression line chart in the same window, fitting measurement function, find the correlation coefficient,,
Quadratic-Exponential-Smoothing
- matlab例子，用二次指数平滑法预测并绘制散点图，附有说明- matlab example, with secondary exponential smoothing forecast and draw a scatter plot
snadian
- 画散点图，完成必须的功能，且功能强大，非常适合初学者 -Videos scatter plot, complete necessary functions, and powerful, very suitable for beginners.Videos scatter plot, complete necessary functions, and powerful, very suitable for beginners.
最小二乘法拟合
- %最小二乘法下用a*sin（x）+b*cos（x）拟合下列散点坐标 %求出拟合系数a，b和方差Dx(The least square method is used to fit the following scatter coordinates with a*sin (x) +b*cos (x) The fitting coefficients a, B and variance Dx were calculated)
1
- 用sas软件做描述性分析，例如计算平均值，极大极小值，方差，极差，绘制散点图，序列图等(Use sas software to do descr iptive analysis, such as calculating mean value, minimum value, variance, range, drawing scatter diagram, sequence diagram, etc.)
arima
- arima - （平稳性检验）根据时间序列的散点图、自相关系数和偏自相关系数、单位根检验(ADF)，来判断数据的平稳性； - （平稳化处理）对非平稳的时间序列数据进行差分处理，得到差分阶数d； - （白噪声检测）为了验证序列中有用的信息是否已被提取完毕，如果为白噪声序列，(arima arima -(Stableness test) According to the time series of scatter plots, autocorrelation coefficients and