homotopy

说明：  主要用于Fluent 中风剖面、湍流剖面以及耗散率剖面的开发，应用的是日本的规范。(It is mainly used for the development of fluent stroke profile, turbulence profile and dissipation rate profile, and it is applied to the specifications of Japan.)

计算颤振，使用非定长气动力的方法进行计算，准确可靠(Calculated flutter, the use of non-fixed-length aerodynamic calculation, accurate and reliable)

基于Levenberg-Marquardt的曲线/面拟合(C library for Levenberg-Marquardt least-squares minimization and curve fitting)

Umat for GTN damage material model in Abaqus by UMAT - STATIC in Levenberg-Marquardt (LM) solution routines from Slatec library

用矩量法(电场结合磁场积分方程)算金属圆柱散射(Using the method of moments (electric field integral equation combined) considered the scattering of metal cylinder)

一种借助lowtran7计算大气透过率和目标辐射的软件平台ART2100(A program that used for calculate air transferrate and object randience based on lowtran7)

凸轮的程序，很好，可以随更改，可以随便变化凸轮的结构。(Cam program, well, you can with the changes, you can easily change the structure of the cam.)

线性方程组的计算，采用的是高斯消元法来实现的。只有主要的算法代码，没有写主函数(Calculation of linear equations using the Gauss elimination method to achieve. Only the main algorithm code, did not write the main function)

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(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method and Newton' s method between a method that takes only a first derivative information, but to overcome the slow convergence of the steepest descent method shortcomings, but also avoid the need to store Newton and computing the inverse Hesse matrix and disadvantages, conjugate gradient method is not only to solve large linear equations of the most useful methods, large-scale nonlinear optimization solution is the most efficient algorithms)

结合粒子群优化算法和和声搜索算法的优点，有效将群智能思想和随机全局搜索相融合，在几个函数优化问题中得到了验证 (Combining particle swarm optimization algorithm and harmony search algorithm advantage, effective will swarm intelligence thought and random global search phase fusion, in several function optimization problem has been proved )