ga_mat

k-l变换在matlab下的源代码，非常实用。(K-L transformation in matlab， which is so easy to apply to many situations.)

B样条的定义，并通过软件生成输出矩阵的数值(B-spline is defined and the output matrix generated by the numerical software)

电源技术实验设计程序实验2 升压控制 (The power technology experimental design program Experiment 2 boost control)

SOUNHO Park RBPFspeech enhancement EMsequential

说明：  利用奇异值分解-总体最小二乘法估计ARMA模型的AR参数,并利用参数进行谐波恢复仿真程序(The use of singular value decomposition- total least squares estimation of AR parameters of ARMA model and using the parameters of harmonic retrieval simulation program)

本程序主要实现人脸的定位，程序简单，实现效果一般(The main achievement of the program face positioning, the program is simple to achieve the effect of general)

Demoagvdemo which used kalman and dd1 and dd2

matlab插值问题，内有两个简单程序和PPT详细讲解，供参考。(matlab interpolation problem, there are two simple procedures and PPT explain in detail, for reference.)

用matlab编程做的《有限元法基础与程序设计》第二章的例子(finite elment anlysis matlab)

说明：  共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)