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SPH方法计算二维溃坝问题的源程序，个人觉得还可以(Two-dimensional dam break problem SPH method the source, individuals felt that I could)

用追赶法来求解三对角线性方程组，解决数值分析问题，与大家共同学习。并且提供黄金分割法、高斯赛德尔迭代法求解数值分析问题(The catch-up method is used to solve tridiagonal linear equations, to solve numerical analysis problems, and to learn from you. The Golden Section Method and Gauss Seidel Iteration Method are also provided to solve numerical analysis problems.)

矩量法实例 计算细导线的雷达散射截面，PPT资料(Instance of the method of moments to calculate the radar cross section of thin wire)

隔离型DC-DC变换器降压仿真模型.使用了全桥结构,并移相控制算法实现,适用于大功率及对电气隔离有要求的电压变换系统. [boost.zip] - boost升压电路 matlab调试成功输出曲(Altar Simulink physics modeling board posted post: isolated two-way full bridge DCDC Resonant Converter... My simulation has been possible, the transformer has some problems, PWM correct phase shift generator, I have)

把 Maxwell 方程式在时间和空间领域上进行差分化。利用蛙跳式(Leap frog algorithm)--空间领域内的电场和磁场进行交替计算，通过时间领域上更新来模仿电磁场的变化，达到数值计算的目的。(The Maxwell equations in time and space on the field differencing. Using the leapfrog (Leap frog algorithm)- Space field for alternating electric and magnetic fields calculated by the time domain electromagnetic field is updated to mimic the changes to achieve the purpose of numerical calculation.)

《Optimal State Estimation - Kalman, H Infinity, and Nonlinear Approaches》 一书的配套源码，包括了Kalman Filter、Hinf Filter、Particle Filter等的Matlab源码(《Optimal State Estimation- Kalman, H Infinity, and Nonlinear Approaches》source code，including Matlab code of Kalman Filter、Hinf Filter、Particle Filter.)

Newton Raphsson Method For solving Numberical Calculation! Written Ba alireza mahdavi(iran)

music高阶谱分析算法，IDW距离反比加权方法，BP神经网络用于函数拟合与模式识别。( music higher order spectral analysis algorithm, IDW inverse distance weighting method, BP neural network function fitting and pattern recognition.)

说明：  四级四阶龙格库塔格式，求解微分方程的好算法。(Four fourth-order Runge-Kutta format, a good algorithm for solving differential equations.)

计算偏心圆导热计算以及同位网格上的SIMPLE算法 (Calculating thermal calculations and eccentric position on the grid with SIMPLE algorithm)