用广义高斯模型（GGM）拟合分布代码，包括生成直方图，参数估计等-for GGM simulation

从TEX文档中读取一系列点数据xy坐标，根据最小二乘原理，采用高斯全主元消去法来拟合椭圆曲线，求得椭圆基本参数。-From the TEX document to read a series of points xy coordinates, Gaussian full principal component elimination method based on the principle of least squares to fit the elliptic curve obtained

主要作为一维高斯过程拟合的实例，并讨论了不同超参数条件，不同协方差函数的表现-Primarily as a one-dimensional Gaussian process fitting examples and discuss the different super-parameters, the performance of different covariance functions