raytracer111

采用数值分析课程中的插值逼近以及曲面拟合方法来估算复杂的函数表达式。(Interpolation approximations and surface fitting methods are used in the numerical analysis course to estimate complex function expressions.)

C语言矩阵求逆模块,输入矩阵调用此模块即可求出对应的逆矩阵(C language matrix inversion module)

C++实现的数值分析算法包括： 二分法.cpp 复化辛卜生公式.cpp 改进欧拉法.cpp 高斯-赛德尔迭代法.cpp 拉格郎日插值多项式.c(C achieve the numerical analysis algorithms include : dichotomy. cpp Minute of Oracle Health formula. cpp Improved Euler method. cpp Gauss- Seidel iterative method. cpp Lagrange polynomial interpolation. c)

电磁计算用的快速多级子算法，欢迎大家下载交流(Fast multilevel sub algorithm for electromagnetic computation)

程序算任意点FFT和小波变换,以及可选择多种小波及小波变换后的单频带重够,另算信号的Lipschitz指数,高级数字信号处理!(counting procedures arbitrary point FFT and Wavelet Transform, and the choice of multiple wavelet and the wavelet transform of a single-band heavy enough, and another count signal Lipschitz index advanced digital signal processing!)

FFT和FIR 快速傅里叶变换和FIR滤波器实验程序(Fast Fourier Transform FFT and FIR and FIR filter experimental procedure)

可实现OFDM电力载波通信的前导序列检测，能进行连续多个前导检测(Can achieve OFDM power carrier communication leading sequence detection, can carry out a number of continuous preamble detection)

水质模型，用于计算河流下游及河口水环境容量(use for water quality)

最优潮流计算程序（使用电力系统专业，属于非线性规划问题）．(optimal power flow calculation procedure (using power systems professional, is Nonlinear Programming).)

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.)