Computer-modeling-FINAL-EXAM-ALL-200-questions

code for a general curve in 2 or more dimensions

使用卡曼滤波器进行基于子空间的自适应多用户检测。经典文章，不容错过(Subspace-based blind adaptive multiuser detection using Kalman filter)

Harris角点检测，用于图像的匹配等！ 直接运行，没有错误！(Harris corner detection for image matching! Run directly error!)

时程积分程序，给定结构激励，计算结构动力响应。(Time integration process, given the incentive structure, dynamic response of structure.)

说明：  MATLAB实现遗传算法求函数最大值，可以改变变量数目，函数形式(Seeking maximum MATLAB Genetic algorithms function, you can change the number of variables, functional form)

逻辑无环流可逆直流调速 波形还可以 适合用于学习(Reversible without circulating DC converter waveforms can be also suitable for learning)

步进电机失步情况的一个仿真.这是一个比较完整的方针,但是仅仅考虑了在单个脉冲下的失步情况.(Stepper motor out-of-step situation in a simulation. This is a relatively comprehensive approach, but considered only in a single pulse under the out-of-step situation.)

自己编写的近邻法算法，包括k近邻法、两分剪辑和重复剪辑、压缩算法。在文档中给出了一个简单的算法原理说明，详细参考边肇的《模式识别》。注：里面的分类线绘制算法存在一些问题，仅供大家参考修改。(The nearest neighbor algorithm written by myself, including k nearest neighbor, the two sub-editing and re editing, compression algorithm. The document gives a simple algorithm principle . The detailed explanation can be found in the book Pattern Recognition written by Bian Zhaoqi. Note: The line drawing algorithms have some problems, only for your reference.)

matlab-sor实现matlab上的sor迭代法(Matlab- sor achieve the Matlab sor iterative method)

PCA:Principal Component Analysis Usage: [eigvector, eigvalue] = PCA(data, options) [eigvector, eigvalue] = PCA(data)(PCA Principal Component Analysis Usage: [eigvector, eigvalue] = PCA(data, options) [eigvector, eigvalue] = PCA(data))