图形显示正弦波DFT的图像

本程序包含输油管道的一个计算程序，用Vb写成，主要参考《输油管道设计》里面的计算公式，可以计算管径，温降，压力降等

CUDA矩阵相乘A*B=C代码，任意输入矩阵A的宽度和矩阵B的宽度（A[wB][wA]*B[wA][wB]），cudaMallocPitch开辟显存空间，cudaMemcpy2D数组复制，Kahan"s Summation Formula提高浮点计算精度。

RANSAC为RANdom SAmple Consensus的缩写，它是根据一组包含异常数据的样本数据集，计算出数据的数学模型参数，得到有效样本数据的算法。它于1981年由Fischler和Bolles最先提出。该资源是利用MATLAB编写的 RANSAC 直线 椭圆 圆 拟合程序 

变步长积分一步的连分式法-variable step integral step in the continued fraction France

vc 著名的九宫图-vc famous JiuGongTu

一、 一元三次回归方程 CubicMultinomialRegress.cs 方程模型为Y=a*X(3)+b*X(2)+c*X(1)+d public override double[] buildFormula() 得到系数数组，存放顺序与模型系数相反，即该数组中系数的值依次是d,c,b,a。 以后所述所有模型的系数存放均与此相同（多元线性回归方程除外）。 public override double forecast(double x) 预测函数，根据模型得到预测结果 public override double computeR2() 计算相关系数（决定系数），系数越接近1，数据越满足该模型。 -1, one dollar three regression equations CubicMultinomialRegress.cs equation model for Y = a* X (3)+ B* X (2)+ C* X (1)+ Dpublic override double [] buildFormula () get coefficient array, store order and model coefficients contrary, that is, the array is followed by the value of coefficient d, c, b, a. After all the model described in the coefficient of storage are the same (except for multiple linear regression equation). public override double forecast (double x) prediction function, according to the results of model prediction public override double computeR2 () calculated the correlation coefficient (determination coefficient), coefficient of the closer one, the dat

DCT快速算法64位的C语言实现，乘法次数目前最少，可嵌入解码器使用-DCT the fast algorithm 64 C language realization, the multiplication number of times at present are least, may insert the decoding use

提供离散点三角网与等值线的实现给大家共享。有谁把等值线光滑处理了后，请也别忘了给我一份-provides discrete point triangulation with the contours to the realization share. Who put smooth contours handled, please do not forget to also give me a

3个关于排序的C程序，以及示例，来自《C语言数值常用程序》，所以程序均经过本人测试可以正常使用！-three on the order of C procedures, as well as examples from the "C language commonly used numerical procedures," and so I have to undergo testing can be used normally.

自动谱分析：可用于丢失/采样/子束光谱分析；矢量自动迭代，可用于建模，故障诊断；-The applications of this additional toolbox are: - Automatic spectral analysis for Irregular sampling/Missing data, analysis of spectral subbands, - Vector Autoregressive modeling and Detection [uses ARMASA] - Reduced statistics ARMAsel: A compact yet accurate ARMA model is obtained based on a given power spectrum. Can be used for generation of colored noise with a prescribed spectrum. - ARfil algorithm: The analysis of missing data/irregularly sampled signals - Subband analysis: Accurate analysis of a part of the power spectrum - Detection: Generally applicable test statistic to determine whether two signals have been generated by the same process or not. Based on the Kullback-Leibler index or Likelihood Ratio. - Analysis of segments of data, possibly of unequal length.