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七段s曲线路径规划程序详解 非常适合做运动控制规划(Detailed solution of seven segment s curve path planning program)

用c++实现m次多项式的曲线拟合，改程序简单易懂，可读性强(it s easy)

提供函数能进行1维2维的FFT，输入输出的序列长度应为2的整数次方倍(Provides functions can be one-dimensional two-dimensional FFT, sequence length input and output should be an integer power of 2 times)

吉尔算法积分一阶微分方程组初值问题的C语言描述，包括主函数、计算微分方程组中各方程右端函数值的函数程序、计算雅克比矩阵的函数程序、矩阵求逆程序等。(GEAR algorithm integral first order differential equations initial value problem of the C language description, including the main function to calculate the differential equations in the equation right function value function procedures, functions Jacobian matrix calculation procedures, matrix inversion procedures.)

用C++编写的一维和二维快速傅里叶变换程序(Prepared with C++ one-dimensional and two-dimensional fast Fourier transform procedure)

基于热焓法的凝固传热模拟的UFluent-UDF程序(UDF for Modelling Soldification using Enthalpy Porosity Technique)

涡格法进行无人机的设计，升力系数，阻力系数，力矩系数等等，美过圣母大学的设计辅助软件(VLM)

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.)

在Z2[X]中判断一个多项式是否本原多项式，并能对给定的多项式求逆。 (in Z2 [X] to judge whether a polynomial primitive polynomial, and the right to the inverse polynomials.)

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...)