FEMandMATLAB

这是matla论文,用来计算RBF输出值很有效(This is matla paper, the output value used to calculate the RBF is very effective)

滤波程序、利用MATLAB编写，相当好用(Filtering procedure, and use MATLAB to prepare, very easy to use)

内点法对非凸非线性规划的解法，求得最优化的解。(Interior point method for solution of non-convex nonlinear programming, to achieve optimum solution.)

matlab程序，关于模糊神经网络的，编修正函数，五层网络(matlab program, compiled correction function, five network fuzzy neural network)

关于向图像中嵌入二值图像作为水印，用的是交换中频系数的方法。(DCT watermarking)

Bema analysis by using the finte element method

说明：  分支定界法（branch and bound）是一种求解整数规划问题的最常用算法。这种方法不但可以求解纯整数规划，还可以求解混合整数规划问题。分支定界法是一种搜索与迭代的方法，选择不同的分支变量和子问题进行分支。 对于两个变量的整数规划问题，使用网格的方法有时更为简单。 [1] 通常，把全部可行解空间反复地分割为越来越小的子集，称为分支；并且对每个子集内的解集计算一个目标下界（对于最小值问题），这称为定界。在每次分枝后，凡是界限超出已知可行解集目标值的那些子集不再进一步分枝，这样，许多子集可不予考虑，这称剪枝。这就是分枝定界法的主要思路。(Branch and bound method is one of the most commonly used algorithms to solve integer programming problems. This method can solve not only pure integer programming but also mixed integer programming. Branch and bound algorithm is a method of search and iteration, which selects branches with different branch variables and sub problems. For integer programming problems with two variables, the grid method is sometimes simpler[ 1] Generally, all feasible solution spaces are divided into smaller and smaller subsets repeatedly, which is called bifurcation; And a lower bound of the objective (for the minimum value problem) is calculated for the solution set in each subset, which is called the bound. After each branch, those subsets whose bounds exceed the objective value of the known feasible solution set will not be further branched, so many subsets can not be considered, which is called pruning. This is the main idea of branch and bound method.)

基于MATLAB的multi_port详解，主要解决的是multi_port的问题()

将SVM与粒子群算法(PSO)相结合,充分利用SVM在处理小样本回归问题上具有的独特优越性及PSO全局搜索优化等特点(SVM and particle swarm optimization algorithm (PSO) combined with SVM, makes full use of the unique superiority and the PSO global search optimization features in small sample regression problems on)

these are to set of files. first one is used for baro and inertial integration and the erro of inertial. the second one is used for sim of reentry by use of not only its dynamics but also with EKF observants to control reentry