Zernike_code

一个凸优化matlab工具箱，可以快速求解凸优化问题，具有很好的效果(A convex optimization matlab toolbox, you can quickly solve the convex optimization problem, with very good results)

fem in matlab a good sourse for structural engineers

genetic algorithm to reduce mean squared error in neural network learning process.

去斜处理（宽带的匹配滤波）Stretch方法是针对线性调频信号而提出的， 其方法是将输入信号与参考信号 （经适当延迟的本振信号， 延迟量通常由窄带信号测距结果估计出） 混频 ，则每一个散射点就对应一个混频后的单频分量，对混频输出的信号进行 DFT 处理 ，即可获得目标的距离像，对参考信号的要求是应具有与输入信号相同的调频斜率。(dechirp matched filter Stretch method is proposed for linear frequency modulation signal. It mixes the input signal with the reference signal (local oscillator signal with appropriate delay, the delay is usually estimated from the result of narrowband signal ranging). Then each scattering point corresponds to a single frequency component after mixing, and DFT is performed on the mixed-frequency output signal. The range profile of the target can be obtained by processing, and the reference signal is required to have the same frequency modulation slope as the input signal.)

基于核方法的主成分分析matlab源代码，比较经典，推荐学习。(Method based on kernel principal component analysis matlab source code, more classic, recommended learning.)

对并联机构五自由度系统中的伸缩杆与摆动杆上受的力进行加载与分析(Loading and analysis of the five degrees of freedom parallel mechanism system of the telescopic pole and swing pole by force)

针对一组数据的分类方法，在matlab中实现，从中可以观察到数据之间的联系(For a set of data classification method, implemented in matlab can be observed from the data to the link between)

数值分析：An introduction to Numerical Analysis 作者：Endre Suli and David F.Mayers University of Oxford Cambridge University Press(An Introduction to Numerical Analysis Auther:Endre Suli and David F.Mayers University of Oxford Cambridge University Press)

说明：  离散信源无失真信源编码（实现huffman编码） 可用于教学(Discrete source lossless source coding (to achieve huffman coding) can be used for teaching)

粒子群算法源代码,属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解。(Particle swarm algorithm source code, is a kind of evolutionary algorithm, and genetic algorithm are similar, it is also starting from the random solutions, through the iterative search for the optimal solution.)