Photonic-crystal-plane-wave-method

mcmc 马尔可夫链 蒙特卡罗算法 具体参数 请用help命令(MCMC Markov chain Monte Carlo algorithm specific parameters Please help command)

Support Vector Machine Implementation in MATLAB

optimization methods in matlab

1. 在matlab中分析基于分离变量法的解析解； 2. 利用简单迭代法求解，与解析法结论对比，分析求解结果的精确度。分析过程至少包括：在网格尺寸为0.1 m和1 m两种条件下，两次迭代差值最大为10-10时的分析结论； 3. 利用超松弛迭代法分析，选择松弛因子，分析其对收敛速度（即迭代次数）的影响，并确定最优值。分析过程至少包括：在网格尺寸为0.1和1两种条件下，两次迭代差值最大为10-10时，迭代次数随松弛因子的变化，得到对应的最优松弛因子，与经验值（课本165页式子3.7.15）进行对比。(1. Analyze the analytical solution based on the separation variable method in matlab. 2. Using a simple iterative method to solve, compared with the results of the analytical method to analyze the accuracy of the solution. The analysis process at least includes the following conclusions: when the mesh size is 0.1m and 1m, the maximum difference between two iterations is 10-10. 3. Analyze using the relaxation relaxation iteration method, select the relaxation factor, analyze its influence on the convergence speed (ie the number of iterations), and determine the optimal value. The analysis process at least includes the following: when the mesh size is 0.1 and 1 and the maximum difference between two iterations is 10-10, the number of iterations varies with the relaxation factor, and the corresponding optimal relaxation factor and empirical value are obtained ( Textbook 165 pages (3.7.15) for comparison.)

Matlab 官方工具箱使用说明 pde偏微分方程工具箱.pdf(Matlab toolbox official use of partial differential equations PDE toolbox. Pdf)

说明：  以多任务分布Matlab的计算(3)-划分一个参数序列到多任务中 Example: Dividing a Parameter Sweep into Tasks(Matlab distribution to multi-task the calculation of (3)- into a parameter to multi-task in sequence Example: Dividing a Parameter Sweep into Tasks)

Data compression tools such as JPEG, KL TRANSFORM, DCT ETC ALGORITHM ARE given

模式识别中knn和svm的使用，用到matlab的fitcknn和fitcsvm(pattern recognition the use of knn and svm to classify data, using matlab function fitcknn and fitcsvm)

matlab中实现的G.726编码的算法及测试程序，在matlab中已经通过测试，并能输出编码结果(matlab code to implement the G.726 algorithm and testing procedures in matlab has been tested and the results can be output coding)

运用matlab计算小数据量情况下的最大Lyapunov指数(Small amount of data calculated using matlab maximum Lyapunov index case)