spiht

已知n个城市之间的相互距离，现有一个推销员必须遍访这n个城市，并且每个城市 只能访问一次，最后又必须返回出发城市。如何安排他对这些城市的访问次序，可使其 旅行路线的总长度最短？ (known cities between the distance from the existing one must salesman n visited this city, every city and can only be visited once, finally starting to return to the city. How to arrange for him to visit these cities priorities, it can travel routes, the total length of the shortest?)

本程序是显式模型预测控制算法，和以往的控制算法比较，计算量大大减少。(this procedure is a model predictive control algorithm, and past the control algorithm, the computation greatly reduced.)

自己写的 AXI master code(AXI master code)

匹配追踪和正交匹配追踪，是国外的成品模型，采用偏最小二乘法。( Matching Pursuit and orthogonal matching pursuit, Foreign model is finished, Partial least squares method.)

最优控制算法案例的Matlab完整详解，可实现最优控制问题的解析解法，非常有参考价值！根据此程序，可解决大部分最优控制问题的程序设计和求解！(The optimal control algorithm Matlab example of a complete solution, can achieve the optimal control problem analytic solution, a very valuable reference! According to this procedure, can solve most of the optimal control of the program design and solution!)

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

ar模型的功率谱估计 在Matlab环境下的方法展示，供大家参考和使用。(The ar model power spectrum estimation method in Matlab environment show for your reference and use.)

Matlab程序，包括爬山算法、黄金分割搜索、nabisect算法(Matlab procedures, including climbing algorithm, golden section search, nabisect algorithm)

matlab bacpropagation neural network

图像阈值分割程序，里面有好几个。运行ostu.m(Image threshold segmentation)