IPTV-Sports-M3u-Playlist-Channels-01-02-2019

回归的各种分析实例以及matlab代码，包括各种数学应用，比如线性回归，非线性回归，逐步回归(Examples of regression analysis, as well as a variety of matlab code, including a variety of mathematical applications such as linear regression, nonlinear regression, stepwise regression)

matlab实现logistic回归 利用牛顿迭代的方法得到最后的回归参数(matlab realize logistic regression using Newton iteration method to get the final regression parameters)

《空间谱估计原理与算法》线性预测算法matlab源代码(" Space Spectrum Estimation Principle and Algorithm," Linear prediction algorithm matlab source code)

光纤中计算非线性的表达式，可以计算色散，自相位调制。(Calculation of nonlinear optical fiber expression)

The purpose of this standalone MATLAB package is to allow users to quickly and automatically quantify the alignment of periodic structures (e.g. collagen fibers) in an image, with respect to a user-specified boundary or an absolute reference.(The purpose of this standalone MATLAB package is to allow users to quickly and automatically quantify the alignment of periodic structures (eg collagen fibers) in an image, with respect to a user-specified boundary or an absolute reference.)

通过本课程学习，使学生掌握利用MATLAB进行数值计算的基本方法，熟悉MATLAB编程环境、语言语法、程序结构、编程及调试技术，掌握MATLAB中M文件、M函数编写方法及调试技术、MATLAB的绘图和图形控制函数等内容，上机练习MATLAB数值解算方法，具备上机操作的技能，学习MATLAB在电气工程学科中的建模与分析方法，为后续专业课程学习奠定基础。 (Through this course, students master the basic methods of numerical calculation using MATLAB, familiar with the MATLAB programming environment, language syntax, program structure, programming and debugging techniques, master MATLAB M-file, prepared by the M function method and debugging techniques, MATLAB graphics control functions, such as content and graphics on exercises MATLAB numerical solution method, with computer operation skills, learning modeling and analysis of MATLAB in electrical engineering disciplines, to learn lay the foundation for subsequent professional courses.)

用拉格朗日乘子法求解约束最优化问题，很好的实例程序。(Lagrange multiplier method for solving constrained optimization problems, very good example programs.)

说明：  关于对六边形内三角形数量的matlab算法，G6。相当实用。(Within the triangle on the number of hexagon matlab algorithm, G6. Very useful.)

ebook of Gaussian Markove Random Fields

反演工具箱2.0_MATLAB7.0适用，用于反演，matlab程序(The inversion Toolbox 2.0_MATLAB7.0 applicable, for the inversion, matlab program)