xiaobofenxiMATLABshixian

书名：[MATLAB语言常用算法程序集].(龚纯).清晰版 内容：插值，函数逼近，特征值计算，数值微分，数值积分，方程求根，非线性方程组求解，线性方程组的直接法，线性方程组的的迭代法，随机数生成，特殊函数计算，常微分方程的初值问题，偏微分方程的数值解法，数据统计和分析。(Title: [MATLAB algorithms commonly used in assembly language]. (Gong pure). Clearer view of the contents: interpolation, function approximation, eigenvalue calculation, numerical differentiation, numerical integration, finding roots of equations, nonlinear equations, linear equations group, direct, linear equations of the iterative method, random number generation, calculation of special functions, initial value problems for ordinary differential equations, numerical solution of partial differential equations, statistics and analysis.)

MATLAB6.5的基础性教程，里面内容很全，非常适合新手使用(MATLAB6.5 basic tutorial, which are very informative, very suitable for new users)

这是一个比较简单的水箱水位串级控制的程序，供初学者学习。(This is a relatively simple tank level cascade control program for beginners to learn.)

动态潮流分析程序（四机两区域系统）有各种情况下如三相短路、两相接地短路等情况下系统的动态潮流分析(Dynamic trend analysis program (four machine two area system) has a variety of circumstances, such as three-phase short circuit, two-phase ground short circuit case, the dynamic trend analysis)

Constructs a new {@code ServerSocket} instance which is not bound to any port. The default number of pending connections may be backlogged.

LA BOUCLE OUVERTE DE LA MADA CONTROLE INDIRECT

Manual Reset Chip KIT (Using the Chip Samsung, Xerox)

说明：  matlab时域分析法中GUI 设计响应(matlab GUI time-domain analysis of the design response)

大学课程数值计算引论中的matlab程序(Introduction to the numerical calculation matlab program)

在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方 法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系 统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函 数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。 本章拟合的非线性函 数为 y = x1^2+x2^2. 。 (In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..)