PROgrams-of-materials

对于PID算法给予了通俗易懂的讲解，有利于初学者快速掌握PID的要领(I give the PID algorithm the understandable explanation，which will help beginners to quickly master the PID essentials)

电网络理论程序 matlab 半动态及动态节点编号优化 NODE为节点关系表 无错误，低警告(Electrical network theory the program matlab semi-dynamic and dynamic node numbering optimization the NODE node relational tables error-free, low-warning)

NSGA-II is a popular non-domination based genetic algorithm for multi- objective optimization.

地球物理反问题中带约束的Tikhonov正则化方法的应用(applications of constrained regularization method )

设T 是一棵带权树，树的每一条边带一个正权。又设S 是T 的顶点集,T/S 是从树T 中 将S中顶点删去后得到的森林。如果T/S中所有树的从根到叶的路长都不超过d ，则称T/S 是一个d 森林。(this is a project )

Algo2-2.c C program for implementing Algorithm 2.2 Algorithm translated to C by: Dr. Norman Fahrer IBM and Macintosh verification by: Daniel Mathews NUMERICAL METHODS: C Programs, (c) John H. Mathews 1995 To accompany the text: NUMERICAL METHODS for Mathematics, Science and Engineering, 2nd Ed, 1992 Prentice Hall, Englewood Cliffs, New Jersey, 07632, U.S.A. Prentice Hall, Inc. USA, Canada, Mexico ISBN 0-13-624990-6 Prentice Hall, International Editions: ISBN 0-13-625047-5 This free software is compliments of the author. E-mail address: in "mathews@fullerton.edu" Algorithm 2.2 (Bisection Method). Section 2.2, Bracketing Methods for Locating a Root, Page 61

对平面上给定的多点进行多项式曲线的拟合，可设置拟合多项式的次数(Given more points on the plane polynomial curve fitting, you can set the number of polynomial fitting)

国外最近的一篇变步长nlms仿真，该文件有文中的几种仿真，包括基本的仿真，信道突变下的追踪性能和语音回声消除的性能分析(Recent foreign nlms a variable step simulation, the file has the text of several simulations, including basic simulation, channel tracking performance under mutation and voice echo cancellation performance analysis)

说明：  用于石油地震资料数字处理，包括 地震偏移（二维或三维）、滤波程序、重采样、具有很广的应用前景，还可以移植到其他的工程领域。(oil for digital processing seismic data, including seismic migration (2D or 3D), filtering procedures, re-sampling, have a very broad application prospects, but also can be transferred to other engineering fields.)

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(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method and Newton' s method between a method that takes only a first derivative information, but to overcome the slow convergence of the steepest descent method shortcomings, but also avoid the need to store Newton and computing the inverse Hesse matrix and disadvantages, conjugate gradient method is not only to solve large linear equations of the most useful methods, large-scale nonlinear optimization solution is the most efficient algorithms)