tabu-matlabcode-tsp

matlab解线性方程组的源代码 function x=nagauss2(a,b,flag) ％ 用途：选列主元Gauss消去法解线性方程组ax=b ％ 格式：x=nagauss2(a,b,flag) a为系数矩阵，b为右端列向量，flag若为0，则显示中间过程 (Matlab solution of linear equations source code function nagauss2 x = (a , b, flag)% purposes : a selection PCA Gauss elimination method for solving linear equations ax = b% Format : nagauss2 x = (a, b, flag) for a coefficient matrix, b subguadratic column vector, if the flag is 0, then showed intermediate process)

Head Pose Estimation on Low Resolution Images using matlab

学习MATLAB (学习MATLAB的好帮手)(Study MATLAB (MATLAB is a good helper to learn))

主要应用于图像分割，基于分水岭分割算法的图像分割(The ICON partitions)

supermarket的一部分源代码一部分源代码(super market)

ofdm基于循环前缀的同步算法，很实用，调试通过了的(ofdm synchronization algorithm based on cyclic prefix)

对加速度时间历程进行频谱分析得到功率谱密度，按下述程序计算加权加速度均方根值(Acceleration time history of spectral analysis to obtain the power spectral density, calculated according to the following procedure weighted acceleration RMS)

说明：  基于粒子群算法的mppt算法，PSO算法，MPPT最大功率点跟踪(MPPT algorithm based on particle swarm optimization)

说明：  图像阈值分割技术在图像分割中具有重要的意义。遗传算法既可以对全局信 息高效利用，也减少了存储空间和计算量。利用遗传算法的优点，提出了一 种用改进遗传算法的图像分割的方法，可以将父代中适应度大的个体代替当前代 中的个体，保证了可以选出最优的个体。遗传算法是具有鲁棒性和自适应性的搜 索方法.通过实验对比，表明该方法具有快速、稳定分割的特点。(Image threshold segmentation technology is of great significance in image segmentation. Genetic Algorithms can be used for global information Efficient utilization of information also reduces storage space and computation. Based on the advantages of genetic algorithm, a new genetic algorithm is proposed. A method of image segmentation based on improved genetic algorithm can replace the current generation with individuals with large adaptability in the parent generation. The individual in the system ensures that the best individual can be selected. Genetic Algorithms are Robust and Adaptive Search The experimental comparison shows that the method has the characteristics of fast and stable segmentation.)

能够实现LL(1)预测分析过程的源码，有测试用例(To achieve LL (1) Prediction of the process of source code, there are test cases)