homotopy

开发环境没有可选项，fortran90,Fortran_90_and_Computational_Science-_codes(Computational Science codes by fortran90 )

统计学习的入门书，通俗易懂，号称是ESL的入门版，全书没有太多数学推导，适合学工程的人不适合学统计的人读(Introduction to statistical learning books, easy to understand, known as the entry version of ESL, the book does not have too many mathematical derivations, suitable for people who are not suitable for learning the project to read statistics.)

利用直接法和间接法求双谱，有例子，可直接运行(bispecd and bispeci)

idl环境下运行，计算两幅图像的交叉相关系数，用于变化检测方面的研究(idl environment to run the calculation two images of cross-correlation coefficient for change detection studies)

三次样条曲线拟合代码，先训练，后差值，计算非常准确(Three times spline curve fitting, the first training, and after, computation is very accurate)

里面包含了随机矩阵理论里经典的仿真，如marcenko-pastur law,tracy-widom law等(It contains some classical simulationa in the random matrix theory，such as marcenko-pastur law,tracy-widom law)

数学建模,很简单的，希望对你们用帮助，望下载！(Mathematical Modeling)

最高用水量时，给水管网平差程序，c语言开发，含实例演示(When the maximum water consumption, water distribution network adjustment program, c language development, with examples demonstrate)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method between the method and Newton' s method, it takes only a first derivative information, but to overcome the steepest descent method convergence slow shortcomings, but also to avoid the Newton method needs to be stored Hesse and disadvantages of computing inverse matrix and the conjugate gradient method is not only one of the most useful methods to solve large linear equations, solution of large-scale nonlinear optimization is one of the most effective algorithm. In various optimization algorithm, conjugate gradient method is a very important one. The advantage is that a small amount of memory required, with step convergence, high stability, and does not require any external parameters.)

偏最小二乘回归的通用程序，以“基于近红外光谱分析的汽油组分建模”为例 (Partial least squares regression of the general program of " Near infrared spectroscopy based gasoline component modeling" as an example)