CS

lingo软件分享,lingo是专门用于解决规划问题的数值计算工具，操作简便(Lingo Software Sharing, Lingo is a numerical calculation tool specially used to solve planning problems. It is easy to operate.)

编制了theta映射法的ansys蠕变子程序(a creep subroutine of ansys that considered the theta-projection method)

自己编写的期望最大化（EM）算法的MATLAB实现，里面有较为运行方法和程序说明，对新手有很好的帮助( I have written the expectation-maximization (EM) algorithm in MATLAB, which has run more methods and procedures described, there is a good help for the novice)

用于焊接模拟的fluent的双椭球体热源UDF程序。(For welding simulation fluent double ellipsoid heat source UDF program.)

附件中是我用Fortran写的lorenz混沌吸引子的lyapunov指数谱产生程序。包括三部分内容：如何产生lorenz吸引子，详细注释，如何计算lyapunov指数谱。 需要的话也可以单独提取子程序中的四阶龙格库塔算法。 希望有所用。(Annex is written in Fortran I used the Lorenz chaotic attractor of lyapunov index spectrum generation process. Includes three parts: how to generate Lorenz attractor, detailed notes, how to calculate the spectrum lyapunov index. If necessary, extraction can also be a separate subroutine in the fourth-order Runge-Kutta algorithm. Would like to see used.)

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)

可以方便求解非线性偏振旋转锁模光纤激光器的脉冲传输(You can easily solve the nonlinear polarization rotation mode-locked fiber laser pulse transmission)

用R做贝叶斯估计，估计随机微分方程中的参数(Bayesian estimation made by R, the parameter estimates stochastic differential equation)

之前找不到合适精度的log2x函数的定点化源码，经过实现并验证后，发上来大家一起学习(fixed version for log2x)

说明：  最小二乘法寻找最佳函数匹配，用以数值计算，优化曲线(The least square method is used to find the best function matching for numerical calculation and curve optimization.)