Kalman-PROGAM

建模啊我说的是建模什么大的 ，。自己可以详细看看(jianmo)

matlab菜鸟入门教程，讲的非常详细，对于熟悉matlab的基本功能很有帮助。(matlab Tutorial rookie, in a very detailed, for those familiar with the basic functions of matlab helpful.)

单输入单输出DMC控制器的MATLAB实现(Single-input single-output DMC controller MATLAB implementation)

用于解决TSP问题的路径优化算法，一种改进的memetic算法(Used to solve TSP problem of path optimization algorithm, an improved memetic algorithm )

Matlat开发的简易GUI,非常的适合初学者。很简单的一个例子。(A simple GUI was developed in Matlab.)

programe reverse a number in c

该代码是对文章Kernel-based fuzzy and possibilistic c-means clustering的实现(the code of Kernel-based fuzzy and possibilistic c-means clustering)

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。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)

计算图像中的欧拉数，经典代码，采用matlab实现，可以熟悉欧拉数的求法，及相关MATLAB函数的用法，带图片可测试。(calculated image of Euler number, classic code using Matlab realized, could familiar with the Euler number for the law, MATLAB functions and related usage, with pictures can be tested.)

job shop scheduling problem