LM3S_ADC

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)

1） 应用C语言编写程序，计算弹道，并绘制结果曲线。 给出系统脱靶量统计结果（用蒙特卡洛法）。 (torpedo)

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)

基于D2Q9模型的LBM程序，用于计算方腔驱动流，对应何亚玲《格子Boltzmann方法的理论及应用》一书的源码(LBM D2Q9 model-based program used to calculate the square cavity driven flow, which corresponds He Yaling " Lattice Boltzmann Method Theory and Applications," a source book)

说明：  LM算法的c语言实现 拟合的函数为gauss函数(Levenberg-Marquardt Method)

计算复序列的分裂基快速傅里叶变换，分裂基快速算法是将基2和基4分解组合而成。在基2M类快速算法中，分裂基算法具有最少的运算量，且仍保留结构规则、原位计算等优点。(Calculate complex sequence of split radix fast Fourier transform, fast algorithm is to split the base base 2 and base 4 decomposition combination. 2M fast algorithm in the base class, the split-based algorithm has the least amount of computation and structural rules remain in situ calculation and so on.)

针对传统的算法如遗传算法、粒子群算法等在TSP问题上求解精确性和求解规模上都还有一定的不足，本文提出了一种基于动态规划思想的粒子群优化算法。该算法用动态规划的方法实现粒子间的信息交互和粒子的进化，并且将粒子群中的粒子按无标度信息指导网络拓扑图的方式进行连接。仿真结果表明该方法能有效地减小误差率，提高解的精确，同时还保持了较低的计算复杂度，具有良好的稳健性。(TSP problem solving for the traditional algorithms such as genetic algorithms, particle swarm optimization accuracy and solving the scale, there is a certain lack of a dynamic programming algorithm-based particle swarm optimization algorithm. The algorithm using dynamic programming method to achieve the evolution of information exchange between the particles and the particles, and particle swarm particle scale-free information guide network topology map to connect. The simulation results show that this method can effectively reduce the error rate and improve the solution precision, while maintaining a low computational complexity, good soundness.)

Fractional knapsack problem, Greedy algorithm

复数的四则运算完整版，包括加减乘除，阶乘，开方等。。。(The plural arithmetic full version,, including addition, subtraction, multiplication, and division factorial, prescribing, etc...)

巨正则系综蒙特卡罗算法的源程序；可以用来进行吸附等分子模拟；最大的好处在于可以插入或删除原子(Grand canonical ensemble Monte Carlo algorithm source can be used for adsorption, molecular simulation biggest advantage is that you can insert or delete atom)