linear-equations

lingo软件分享,lingo是专门用于解决规划问题的数值计算工具，操作简便(Lingo Software Sharing, Lingo is a numerical calculation tool specially used to solve planning problems. It is easy to operate.)

矩阵按键程序，用的是C。本人还是学生，做得不好请大家多多指教(Matrix button procedure is used in C. I am still a student, doing a lot of bad advice please)

高斯消元法、高斯列主元消元法解线性方程组。程序由本人独立完全独立完成。版权所有！(Gaussian elimination method out PCA Gaussian elimination method for solving linear equations. I am independent program consists entirely independently. All rights reserved!)

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。(Conjugate gradient method Gradient) is a method between the steepest descent method and Newton's method. It only uses the first derivative information, but overcomes the disadvantage of slow convergence of steepest descent method, and avoids the disadvantage of storing and calculating Hesse matrix and solving inverse of Newton's method. Conjugate gradient method is not only one of the most useful methods to solve large-scale linear equations, but also the most effective method to solve large-scale nonlinear optimization One of the algorithms of. Among all kinds of optimization algorithms, conjugate gradient method is very important. It has the advantages of small storage, step convergence, high stability and no external parameters.)

说明：  最小二乘法拟合曲线的一个小程序，采用C++程序，(Least-squares fitting curve C++ program)

基于TMS320LF2407的FFT算法的实现及应用(TMS320LF2407 of the FFT algorithm based on Implementation and Application of)

计算多边形(凸凹)面积。 欢迎批评指正(Calculating polygon (convex and concave) area. Welcome criticism)

一个非线性方程的matlap程序，杜芬方程的变异(A nonlinear equations matlap program, variation of Duffing equation)

我自己用c语言写的64点基4FFT算法，在visual c++ 6.0环境下编译通过。同matlab结果一致。(My own use C language to write the 64 based 4FFT algorithm, in visual c++ 6 compiler environment through. Results consistent with matlab.)

数值计算各算法的程序,包括:牛顿迭代法,超松驰迭代法,微分法等.对于初学数值分析这门课程的人有很大的帮助.(Numerical calculation procedure of the algorithm, including: Newton iteration, ultra-relaxation iteration method, differential method and so on. Beginner numerical analysis for this course were very helpful.)