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说明：  在科学与工程计算中，经常遇到求解非线性方程组的问题；非线性方程组在收敛速度及收敛性比线性方程组要差，特别对于非凸的非线性方程组，其求解更是困难。下面简要介绍非线性方程组的三种解法——牛顿法、拟牛顿法、同伦算法，分析三种解法的适用性，并附Matlab原程序。(Scientific and engineering computing, often encounter the problem of solving nonlinear equations speed of convergence of nonlinear equations and linear equations worse than convergence, especially for non-convex nonlinear equations, which is even more difficult to solve . The following briefly describes three solutions to nonlinear equations- Newton method, quasi-Newton method, homotopy method, the applicability of the three solutions, along with Matlab original program.)

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)

基于时间序列法的超短期电力负荷预测 利用时间序列法进行数学建模(Mathematical modeling based on very short-term power load time series forecasting using time series method)

混合储能，风机，光伏，柴油机之间的优化配置的仿真分析程序(Optimize the allocation of mixed storage, wind, solar, diesel between Simulation Software)

实现构建矩阵，矩阵的相加，相减，清零，以及转置，还有相乘的功能。(To build matrix, the matrix addition, subtraction, reset, and transposed, and the function of the multiplication. )

LAPACK，其名為Linear Algebra PACKage的縮寫，是一以Fortran程式語言寫就，用於數值計算的函式集。 LAPACK提供了豐富的工具函式，可用於諸如解多元線性方程式、線性系統方程組的最小平方解、計算特徵向量、用於計算矩陣QR分解的Householder轉換、以及奇異值分解等問題。(LAPACK (Linear Algebra PACKage) is a software library for numerical linear algebra. It provides routines for solving systems of linear equations and linear least squares, eigenvalue problems, and singular value decomposition. It also includes routines to implement the associated matrix factorizations such as LU, QR, Cholesky and Schur decomposition.)

邻带计算，高斯正反算，可以实现测绘系统内简单的转换计算，但是是基于80坐标系统的。(failed to translate)

fluent模拟焊接，熔滴过渡的质量源项(Welding Simulation， mass source)

vc++实现编译原理中的LL(1)文法的编译过程,非常好用.(vc realization of the principle of compiler LL (1) grammar compiler course, very handy.)

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)