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贝叶斯matlab程序算法，给出了大量练习数据和实验方法以及结果分析。(Bayesian algorithm matlab procedures are given a great deal of practice data and experimental methods and results analysis.)

说明：  四级四阶龙格库塔格式，求解微分方程的好算法。(Four fourth-order Runge-Kutta format, a good algorithm for solving differential equations.)

数值方法的5个重要的算法： 1.[Dirich.m] 求解拉普拉斯方程的狄利克雷方法. 用于偏微分方程的数值解 2.[Hamming.m] 汉明方法是用来修正微分方程的多步预测。 3. [Milne.m] 米尔恩 - 辛普森差分方程求解方法，用于预测校正方法。 4. [Rkf45.m]龙格 - 库塔 - 沃尔伯格错误控制和步骤的方法求解微分方程的近似解 5.[Romber.m]著名的龙贝格积分源代码。计算结果存在并显示为下三角矩阵。(Numerical Methods in five of the more important algorithms: 1. [Dirich.m] to solve the Laplace equation Dirichlet method for the numerical solution of partial differential equations 2.[Hamming.m] Hamming method is the multistep forecast corrected differential equations. 3. [Milne.m] the Milne- Simpson method as a differential equation solver used forecast correction method. 4. [Rkf45.m] Runge- Kutta- Wahlberg error control and step method for solving differential equations approximate solution 5. [Romber.m] the famous Romberg integral source code numerical integration, the presence of computable results show a lower triangular matrix.)

基于Matlab的RCS(雷达散射截面）计算案例。 利用时域有限差分法(FDTD)的计算电磁学手段，给出了较为准确的结果。(An exact example to calculate the RCS based on Matlab. Using the FDTD method, it indicates that the simulation is quite acurate.)

模糊最小二乘支持向量机，用于剔除偏离较远的数据点，减小野值的影响(Fuzzy least squares support vector machine for the deviation from the data points far removed, to reduce the impact of outliers)

克立格插值工具箱介绍，用于计算克里金插值计算问题(Kriging Toolbox introduced Kriging interpolation calculation is used to calculate)

先通过emd进行分解，然后求出边际谱，进行分析(First, the EMD is decomposed, and then the marginal spectrum is obtained)

粉土的阻尼比拟合程序。拟合模型选择Davidenkov模型。(The silt damping match the proper procedure. The Fitting Model Davidenkov model.)

用Lanczos方法求解矩阵的最大几个奇异值的Matlab程序。(Matlab codes for large singular value with Lanczos Methods)

利用不动点迭代和牛顿迭代求解非线性方程解的理论(Theory of Solving Nonlinear Equations by Fixed Point Iteration and Newton Iteration)