migration(FKaPS)

说明：  给定四个数（1--13），判经过四则运算后能否得到结果24，若能，输出表达式。 (Given the number four (1- 13), after sub after four computing results can be 24, if the output expression.)

　禁忌搜索算法是一种全局性邻域搜索算法，模拟人类具有记忆功能的寻优特征。它通过局部邻域搜索机制和相应的禁忌准则来避免迂回搜索，并通过破禁水平来释放一些被禁忌的优良状态，进而保证多样化的有效探索，以最终实现全局优化(Tabu search algorithm)

分数值分析的一些ppt课件，很有用，在学习C的时候，可以用到这些博大精深的思想(Fractional value analysis ppt courseware, useful when learning C, you can use these profound thought)

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.)

用vc++编写的具有计算齿轮误差的软件，并能判断是否合格(Prepared using vc++ error with computing gear software, and to determine eligibility)

FFT/IFFT 变换程序----------------(FFT/IFFT transformation process----------------)

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...)

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.)

天线组阵中相位差的递推最小二乘估计与滤波(Phase array antenna group recursive least squares estimation and filtering)

最优解回溯法0-1问题，为了构造最优解，必须在算法中记录与当前最优值相应的当前最优解。(The optimal solution backtracking 0-1 must be recorded in the algorithm, in order to construct the optimal solution, corresponding to the current optimal value, the current optimal solution.)