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这是一个用于一维等离子体粒子模拟的Fortran程序。(This is a one-dimensional plasma particle simulation for Fortran programs.)

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)

说明：  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。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(Conjugate gradient method Gradient) is a method between the steepest descent method and Newton's method. It only uses the first derivative information, but overcomes the disadvantage of slow convergence of steepest descent method, and avoids the disadvantage of storing and calculating Hesse matrix and solving inverse of Newton's method. Conjugate gradient method is not only one of the most useful methods to solve large-scale linear equations, but also the most effective method to solve large-scale nonlinear optimization One of the algorithms of. Among all kinds of optimization algorithms, conjugate gradient method is very important. It has the advantages of small storage, step convergence, high stability and no external parameters.)

vic模型参数率定代码，用Python编写(VIC Model Parameter rate code, written in Python)

格子boltzmann方法模拟2D圆柱绕流程序 C++程序d2Q9模型(Lattice boltzmann simulation program 2D flow around a cylinder model of C++ program d2Q9)

说明：  Matlab下基于蒙特卡洛方法解辐射传输方程(solution of radiation transmission equation based on Monte Carlo method under Matlab)

matlab程序—用burg方法计算太阳黑子爆发的周期(the matlab program-the frequency of the sunspot by the method of burg)

数值分析，即计算方法课程中的龙贝格算法源代码。(Numerical analysis, calculation of the Romberg algorithm source code in the methods courses.)

随机共振的EMD去噪算法，在机械振动信号方面的应用(Stochastic resonance EMD denoising algorithm, in the application of mechanical vibration signals)

自己编的5种调制信号，通过反复训练模板能有较高的识别率，DC-DC部分采用定功率单环控制。( Own five modulation signal, Through repeated training VxODOGFlate have higher recognition rate, DC-DC power single-part set-loop control.)