SVD

LS_SVM 偏最小二乘结合支持向量机(The LS SVM partial least squares and Support Vector Machine)

用于优化最小二乘支持向量机的Matlab程序代码，可直接实用。(Used to optimize the least squares support vector machine in Matlab code can be directly useful.)

用乔里斯基分解法求系数矩阵为对称正定右端为常向量的方程组(Demand coefficient matrix with the Cholesky decomposition method for symmetric positive definite the right end of the constant vector equations)

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。(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method between the method and Newton' s method, it takes only a first derivative information, but to overcome the steepest descent method convergence slow shortcomings, but also to avoid the Newton method needs to be stored Hesse and disadvantages of computing inverse matrix and the conjugate gradient method is not only one of the most useful methods to solve large linear equations, solution of large-scale nonlinear optimization is one of the most effective algorithm. In various optimization algorithm, conjugate gradient method is a very important one. The advantage is that a small amount of memory required, with step convergence, high stability, and does not require any external parameters.)

插值与拟合，牛顿插值法，直接利用拉格朗日插值多项式的病态性(Interpolation and fitting, Newton interpolation method, the direct use of Lagrange Interpolation polynomial morbid)

程序提示用户输入两个数,然后它将输出这两个数字的和、差、积、商、以及余数，分十进制和十六进制两种格式 (The program prompts the user to enter two numbers, then it will be the output of these two numbers and difference, product, quotient, and the remainder, and decimal and hexadecimal two formats)

数值分析中的高斯——塞德尔迭代算法的的C语言实现(Numerical Analysis of Gauss- Seidel iterative algorithm of the C language)

北京航空航天大学数值分析大作业第二题，有难度，这可是历年北航研究生转载最多的代码了(Beijing University of Aeronautics and Astronautics numerical analysis of large operating the second question, there is difficulty, this is the most over the years Beihang University Graduate reproduced the code)

说明：  用PSO-BPNN算法对时间序列数据进行拟合并预测未来一段时间数据(Using pso-bpnn algorithm to predict the future time series data)

多导体传输线之间的串扰问题，通过BLT方程求解。(Crosstalk between the multi-conductor transmission line problem solving BLT equation.)