071006103

A SA arithmetic desolve a NP problem of TSP。The result is not bad

说明：  本程序实现USART异步方式连续接收数据并进行奇校验，在4M的主频下波特率为9600。(USART asynchronous implementation of this procedure to receive data and continuous odd parity, baud rate, under the dominant frequency in the 4M 9600.)

ddc simulation 进行DDC实现过程的仿真(ddc simulation DDC realization process for the simulation)

一维热传导程序程序，很简单，完全可以套用的。是通用方法(One-dimensional heat conduction)

跳得字，透過輸入文字，下方會出現文字跳動(Jump word, through the input text, the text will appear below beating)

该算法基本思想是利用一组带有相应权值的随机样本即粒子去逼近PHD分布和基数分布，其意义在于不仅解决重积分计算没有闭式解的难题，而且在滤波过程中，PHD函数被一系列离散的带权值的样本近似，随着样本粒子数量的增加，PHDF接近于Bayes最优估计，而且不受模型线性和高斯假设的限制，可以适用于非线性非高斯的随机系统。(The algorithm the basic idea is to use a set of random sample with the corresponding weight namely particle approximation PHD and base distribution, its significance lies in not only solve the problem of multiple integral calculation without closed solution, and in the process of filtering, PHD function by a series of discrete weighted value of sample approximation, with the increase of sample particles, PHDF close to the Bayes optimal estimation, and is not subject to the assumptions of the linear and gaussian model can be applied to nonlinear non-gaussian stochastic system.)

我们提出了一种列和约束生成算法来解决两阶段鲁棒优化问题。 与现有的Benders式切割平面方法相比，柱式和约束生成算法是一种通用的程序，采用统一的方法来处理最优性和可行性。 对两阶段稳健位置传输问题的计算研究表明，它的执行速度提高了一个数量级。(we present a column-and-constraint generation algorithm to solve two-stage robust optimization problems. Compared with existing Benders-style cutting plane methods, the column-and constraint generation algorithm is a general procedure with a unified approach . A computational study on a two-stage robust location-transportation problem shows that it performs an order of magnitude faster.)

神经网络中的对象传播神经网络CPN的学习算法(Neural network objects CPN-propagation neural network learning algorithm)

说明：  是关于对角PCA算法的matlab代码，包含对角化代码和对角化PCA代码(Is the angle of PCA algorithm on matlab code, including code and diagonalization Diagonalization PCA code)

kmeans face detection in matlab