Stanford

一般线性规划问题具有线性方程组的变量数大于方程个数，这时会有不定的解。当决策变量个数n和约束条件个数m较大时，单纯形法是求解线性规划问题的通用方法。 从线性方程组找出一个个的单纯形，每一个单纯形可以求得一组解，然后再判断该解使目标函数值是增大还是变小了，决定下一步选择的单纯形。通过优化迭代，直到目标函数实现最大或最小值(In general linear programming problems, the number of variables with linear equations is greater than the number of equations. When the number of decision variables n and constraint number m are large, simplex method is the general method for solving linear programming problems. Find out one by one from the linear equations of the simplex, each a simplex can get a set of solution, and then concludes that the solution is the objective function value increases or smaller and decided to choose the next simplex. By optimizing iteration, until the target function achieves the maximum or minimum value.)

面向对象的有限元程序设计。与传统的有限元程序相比，面向对象有限元程序更易于编写、更易于维护和扩充，程序代码的可重用成分更大。(object oriented finite element programming)

实对称矩阵特征值与特征向量的雅克比法，ap为是对称矩阵，vp返回特征向量(Real Symmetric Matrix Eigenvalues and Eigenvectors of the Jacobian method, ap is a symmetric matrix, vp return eigenvector)

本算法是基于数值计算中的SQP编写的MATLAB程序。非常实用的一个小程序。(This algorithm is based on the numerical calculation of SQP written MATLAB program. Very practical one small program.)

这个程序是三次样条厄米特插值程序，可以用于拟合函数，做出图形(This program is a cubic spline Hermitian interpolation procedure can be used for the fitting function to make the graphics)

基于最小二乘法求解相移量算法，最小二乘求相移图相位(phase shift algorithm based on the least squares method, least squares seeking phase shift diagram phase)

实现矩阵的四则运算，并能计算矩阵的特征值和特征向量(Four arithmetic operations of matrices are realized, and eigenvalues and eigenvectors of matrices can be calculated.)

最小二乘法含有非线性线性拟合附有理论和实际的例子说明比较具有实际应用哟(PLS)

说明：  自己编的，实现l-bfgs解无约束优化问题(Own, and the realization of l-bfgs Unconstrained optimization problems)

BER calculate between 2 files.