LeastSquareFitting

用于CFD模拟室内热舒适性，利用用户自定义编写室内热舒适评价指标PMV，对模拟分析结果进行处理，得出室内各处的PMV值。(This is used to simuate indoor thermal comfort performance through CFD.)

说明：  分子动力学模拟的简化版。PDF文件中包含了伪代码。(a simple example for molecular dynamics)

共轭梯度法求解凸二次规划，代码由C语言开发，老外编写的程序，很值得一读。(Conjugate gradient method for solving convex quadratic programming, code generated by C language development, foreigners prepared program, it is worth reading.)

数值分析计算课程的部分习题答案，有matlab编程，希望对大家有用。(some small matlab codes .)

seisee 读取地震数据英文使用说明文档(seisee read seismic data for use in English documentation)

用于解决港口优化调度的算例，程序可解，且富有详细说明(The optimal scheduling algorithm used to solve the port, the program is solvable, and rich detailed instructions)

fluent 改进的全空化模型，针对可压缩流，内有声速处理(fluent improved full cavitation model for compressible flow, there are the speed of sound processing)

sorting different kind of arrays

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.)

说明：  利用该方程组求解一般的线性方程组，别且符合数学求解原理(Using the equations of linear equations in general, do not and in accordance with principles of mathematics to solve)