Neyman

Orthogonal Frequency division Multiplexing Access model to simulating.

说明：  规划问题的matlab源码，希望大家多提意见啊(Matlab source programming problems, hope that we do so ah)

基于卡尔曼算法的AR模型系数预测，利用卡尔曼滤波算法对AR模型的系数进行实时更新，可以观察到预测准确度有明显提高(Kalman algorithm based on AR model coefficients predicted using the Kalman filter AR model coefficients for real-time updates can be observed significantly improve prediction accuracy)

说明：  雷达MTD源程序，非常棒的MATLAB源码，谁用谁知道，呵呵(MTD radar source, great for MATLAB source, who is with who knows, huh, huh)

MIT--航空航天工程中的计算方法_最优化方案 MIT公开课程--航空航天工程中的计算方法 这门课程适用于在航空和航天工程中出现的计算方法的入门学习。其应用是从航空宇宙结构，空气动力学，动力学和控制，和航空宇宙系统选出的。其技术包括：常微分方程系统的数值积分；偏微分方程式的有限差分,有限体积, 和有限元的离散化；数值线性代数；本征值问题和带有约束的最优化。 (MIT- Aerospace engineering calculations _ MIT open course program optimization- Aerospace engineering calculation methods for this course in aviation and aerospace engineering calculations appear in an introduction. The application is from aerospace structures, aerodynamics, dynamics and control, and aerospace systems selected. The technologies include: numerical integration of ordinary differential equations systems partial differential equations of finite difference, finite volume, and finite element discretization numerical linear algebra eigenvalue problems with constraints and optimization.)

说明：  1.1 背包问题 有一个徒步旅行者，已知他能承受的旅行背包的重量不超过a（kg）。设有n种物品可供他选择装入背包，这n种物品分别编号为1，2，…，n。其中第i种物品每件的重量为ai（kg），其使用价值（指一件第i种物品对旅行者来说所带来的好处的一种数量指标）为ci（i＝1，2，…，n）。问这位旅行者应如何选择携带这n种物品的件数，使得总价值最大？ (1.1 knapsack problem is a hikers. he is known to travel to withstand the weight of the backpack not exceed a (kg). N Species with articles for his choice loaded backpack, n product were numbered 1, 2, ..., n. I first of which product each ai of the weight (kg), its value (i refers to a section of the types of items travelers the benefits brought by a number of indicators) for the ci (i = 1, 2, ..., n). Asked how travelers who choose to bring this product to the n pieces, making the total value of the largest?)

algorithm of Back Propagation NN

求解抛物型方程正问题的有限差分方法程序源代码(limited difference method for parabolic equations)

MATLAB经典教程，内容比较全面，易于自学，能够帮助你精通MATLAB(MATLAB Tutorial classic, content more comprehensive, easy to self-learning, can help you proficient in MATLAB)

这是一篇关于adaboost.m1算法的人脸识别源码,识别率挺高的，读入任意人脸库即可运行，已经过测试(This is a source code of face recognition algorithm on adaboost.m1 .code has been tested ,you can read face database to run)