Scalarmodel

此源码包是我本学期最优化理论课程的大作业，其中包括了我自己写的以下常用最优化算法的实现代码：最速下降法，牛顿法，非线性最小二乘法，DFP法。fun1，fun2是两个测试函数。谢谢！(This is my source packages optimization theory this semester courses in large operations, including my own to write the following commonly used optimization algorithm code: steepest descent method, Newton method, nonlinear least squares method, DFP method. fun1, fun2 are two test function. Thanks!)

说明：  FLUENT中离散相粒子追踪设置及相关计算，设计用户自定义相关内容(Discrete phase particle tracking in FLUENT)

数据模型归一化，模态振动，分析了该信号的时域、频域、倒谱，循环谱等,用于信号特征提取、信号消噪。( Normalized data model, modal vibration, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. For feature extraction, signal de-noising.)

说明：  一个机器学习的python文件，里面拥有各种机器学习方法，可以供大家参考(A Python file for machine learning, which has various machine learning methods, can be used for your reference.)

牛顿插值法进行多项式逼近，matlab编译成功，直接可用(Newton interpolation polynomial approximation method, matlab compiled successfully, directly available)

最佳平方逼近数值分析算法程序，matalab编程运算(numerical analysis of best square approximation)

浙江大学何晓飞写的数据降维基本算法，对初学者很有帮助(Zhejiang university HeXiaoFei wrote down the wiki data algorithm for beginners helpful )

输出三维数据可供tecplot软件读取的二进制文件(Output data for three-dimensional software to read the binary file tecplot)

关于粗糙集对属性进行约简，一个很好的计算工具(On rough set of attributes about Jane, a very good tool)

说明：  用FORTRAN语言实现二维欧拉方程的求解，采用二阶MUSCL迎风格式()