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平常练习的一些程序，比较基础，包括求斐波那契数、完数等等(Some of the usual practice procedures, more infrastructure, including seeking Fibonacci numbers, number, etc. End)

说明：  用二分法求解一元五次非线性方程的实数解，在高等电路学习中有很好的用途。(One yuan of five nonlinear equations dichotomy solving real solutions, there is a very good use in the higher circuit learning.)

FLUENT里面改进的SA湍流模型，为UDF文件，可以进行链接编译计算(FLUENT which improved SA turbulence model for the UDF file can be compiled to calculate the link)

用C++来实现NEWTON迭代法解非线性方程算法数值分析，是数值分析里典型的一个算法。(In C++ to achieve NEWTON iterative numerical algorithm for solving nonlinear equations, numerical analysis is in a typical algorithm.)

对于给定的一组轨迹点，用优化方法实现铰链四杆机构轨迹复演。优化方法为共轭梯度法。(For a set of track points,we use a optimization method to optimize the track of Hinge four-bar mechanism. The optimization method is conjugate gradient.)

递归神经网络-实时学习训练算法代码，亲测可用，简洁无误，容易上手。( Recursive neural network- real-time learning training algorithm code, pro-test available, simple and correct, easy to use.)

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()

在visual studio的平台上开发CUDA程序实现并行加速计算矩阵的乘积，同时比较与串行计算的差异(Differences in the development of procedures to achieve parallel CUDA accelerated computing matrices in visual studio platform, but compared with the serial computing)

一个短时傅里叶变换的C语言实现，对3万个数据进行加窗、FFT处理(A short time Fourier transform of C language, for 30,000 data windowing, FFT processing)

高斯-赛德尔迭代法是解线性方程组的常规算法，本文是C语言的高斯-赛德尔计算代码(Gauss-Seidel C program)