cec13matlab

该文件中包含有常微分方程初值问题的四种数值解法，分别是：RK4法，AB4法，AB4_AM4预测矫正法和改进的AB4_AM4法(The document contains the initial value problem of ordinary differential equations of the four numerical method, namely: RK4 method, AB4 Act, AB4_AM4 forecast correction method and improved method AB4_AM4)

说明：  MATLAB 常用命令集合。能够很好的帮助初学者进行指导。内用确实很丰富不容错过(MATLAB command set used. Can be a good guide to help beginners. With a very rich indeed not to be missed)

汽车高斯曲面拟合 --- 2程序，以适应到表面二维高斯： 子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的 这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。 autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种(Auto Gaussian Surface fit --- 2 routines to fit a 2D Gaussian to a surface: zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit. autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals))

一种基于边缘特征的二值化算法，效果较好，里面还有ppt，讲解算法的主要思想 还有matlab源码。(based on the characteristics of two marginal value of the algorithm, the result is better and there is also ppt. Algorithm on the main ideas are still Matlab source.)

Lab file Matlab file

Hashin UMat ABAQUS collected simwe that to the user good UMAT information, belongs to original author

baker（面包师变换）的混沌图像，面包师变换是混沌的一种，是一维的混沌映射。vanderpol混沌系统的图像(baker (baker transform) of chaotic image, the baker's transformation is a chaotic, is a dimension of chaotic maps. Vanderpol chaotic system image)

用MATLAB(R)混合编程,给出了一种粒子模拟(PIC,CIC)方法中粒子云状态实时可视化的新方案,使得粒子的整体状态和运动趋势能够清晰的从绘出的图中直观的看出。(Using MATLAB (R) hybrid programming, given a particle simulation (PIC, CIC) method in real-time visualization of the particle cloud state' s new program, making the movement of particles and the overall state trend can clearly draw the figure from intuitive to see.)

说明：  利用matlab对图像进行栅格提取，高频增强，中值过滤，线性过滤，自适应过滤等的程序代码(The image grid using matlab code extracted)

说明：  matlab实现的arnold置乱变换,很好用(matlab implementation arnold scrambling transformation, useful)