The-basic-function-of-MATLAB

A generalized Richardson extrapolation routine that can perform multiple extrapolation steps, can accommodate arbitrary leading error terms, can handle any uniform refinement scheme (e.g. h/2, h/3, h/5, etc), and can report a full extrapolation table including comparing against a known good solution. Able to handle vector inputs. Compatible both with MATLAB and Octave. Includes Octave-style unit tests.

压缩包包含使用matlab求解优化问题，其中包含多个实验和ppt讲解,希望对各位有所帮助。(Compressed package includes solving optimization problems using matlab, which contains multiple experiments and ppt to explain, you want to help.)

this som method in NeuralNetwork

预测控制实例程序，在matlab 7.1环境中编译通过，效果还可以，希望大家学习交流(Examples of predictive control procedures, the compiler matlab 7.1 environment is passed, the effect can also hope that we learn)

effective segmentation algorithm

利用乘幂法求解矩阵A=[6，-11,6 1,0,0 0,1,0]的特征根（1,2,3）(solve the characteristic roots of array: A = [6,-11,6 1,0,0 0,1,0] by using matrix power method the root=(1,2,3))

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm.)

共轭梯度法在数值分析中应用非常广泛，比最速下降法要快，这里是FR共轭梯度法，及简单的例子。(Conjugate gradient method in numerical analysis is widely used, and faster than the steepest descent method , this is FR conjugate gradient method, and some simple examples.)

It is a function of active disturbance reject control

利用Matlab生成GPS C/A 码的基带信号。 （1）产生卫星PRN 号码为“5”的一组C/A 码； （2）循环生成25 页的导航数据，GPS 时间可填入一固定的已知数值； （3）生成C/A 码扩频信号，每个C/A 码码片给出4 个采样数据； （4）基带信号采用方波信号，电平为0 和1，占空比为50 ％，不加入噪声，进一步生成某个特定的中频信号。(Matlab generated using GPS C/A code base band signal. (1) generation of satellite PRN number is " 5" a set of C/A code (2) loop generates 25 of the navigation data, GPS time can fill a fixed known value (3) to generate C/A code spread spectrum signal, each C/A code chip gives the four sampling data (4) baseband signals using square wave signal, level 0 and 1, 50 duty cycle, not to join the noise generated further a specific frequency signal.)