standard

欧拉法解常微分方程的MATLAB程序M文件。与大家分享(Euler method for solving the M-file of Ordinary Differential Equations MATLAB program. To share with you)

介绍MAPLE使用方法的书籍。网上关于maple的指导书很少，这个是不错的了。对初学者来说可以迅速上手，我当时就是因为临时需要才学的，边学边用，很快就上手了。(An introductory book of MAPLE, published in 2007. Easy to understand and use. Suitable for beginners and amateurs.)

单纯形法找初始可行解，上课留的作业，希望对别人有点用吧(Simplex method to find an initial feasible solution , hope it is useful for others.)

计算机模拟和蒙特卡洛方法，文件格式为pdg,主要介绍随机模拟方法(Computer Simulation and the Monte Carlo method, file format pdg, stochastic simulation method introduced)

说明：  用LINGO求解最短路径问题，此方法为0-1规划，只适用于简单的ILP问题。(Lingo is used to solve the shortest path problem, which is a 0-1 programming method. It is only suitable for simple ILP problems.)

非线性算法合集，包括牛顿拉夫逊法，Broyden拟牛顿法，弧长法，割线法。每种算法都包含有线性搜索迭代改进。(Nonlinear algorithm collection, including Newton Raphson, Broyden quasi-Newton method, arc-length method, secant method. Each contains a linear search algorithms for iterative improvement.)

功能是将邻接矩阵或关联矩阵变为有向或者无向网络图，有结果显示。(Function is to convert the adjacency matrix or the correlation matrix becomes directed or undirected network diagram, results show.)

说明：  基2基4基8以及分裂基的fft算法，代码效率很高。是难得一见的好代码。应用范围很广。(Radix-2-4-based 8 and split fft-based algorithm, a high code efficiency. Is a rare good code. Application of a very wide scope.)

为了提高三级倒立摆系统控制的响应速度和稳定性,在设计Mamdani 型模糊推理规则控制器控制倒立摆系统稳定的基础上, 设计了一种更有效率的基于Sugeno 型模糊推理规则的模糊神经网络控制器。该控制器使用BP 神经网络和最小二乘法的混 合算法进行参数训练,能够准确归纳输入输出量的模糊隶属度函数和模糊逻辑规则。通过与Mamdani 型控制器的仿真对比, 表明该Sugeno 型模糊神经网络控制器对三级倒立摆系统的控制具有良好的稳定性和快速性,以及较高的控制精度。(In order to improve the three-level control of inverted pendulum system response speed and stability, in the design of Mamdani-type fuzzy inference rules of the system controller to control the stability of inverted pendulum on the basis of a more efficient design based on Sugeno-type fuzzy inference rules of fuzzy neural network controller. The controller is the use of BP neural network and hybrid least squares training algorithm parameters can be accurately summed up the amount of input and output fuzzy membership function and fuzzy logic rules. Mamdani-type controller with a simulation comparison shows that the Sugeno-type fuzzy neural network controller for the three-tier control of inverted pendulum system with good stability and fast, as well as a higher control precision.)

Fundamentals of matrix computations 矩阵运算的基础(Fundamentals of matrix computations)