usercreep

说明：  基于结构网格二维Euler方程的Jameson求解方法 自己写的程序，网格是现成的结构网格(Jameson solution method based on two-dimensional Euler equation of structural grid. Write their own procedures, the grid is ready - made structural grid.)

含噪脉冲信号进行相关检测,信号处理中的旋转不变子空间法，代码里有很完整的注释和解释。( Noisy pulse correlation detection signal, Signal Processing ESPRIT method, Code, there are very complete notes and explanation.)

全面介绍有限元网格生成算法的英文教材，可以作为网格生成算法的编程资料(finite element mesh generation has not been taken as a formal subject of teaching in universities,as it encompasses several disciplines including classical geometry, computational geometry and topology, finite element method, data structures and algorithms, computer programming and, to a certain extent, even computer graphics.)

Algorithm gauss seidel load flow

三维PML-FDTD的C语言代码，完全匹配层的C语言实现(3D PML-FDTD in the C language code, perfectly matched layer in C language)

三相潮流计算，使用的是牛顿拉弗逊方法。迭代较快。是解决潮流的较有效的方法。(Three-phase power flow calculation, using Newton' s method Laffer Johnson. Iterate rapidly. The trend is to solve the more effective method.)

适用于ABAQUS的自定义材料子程序，适用于平面单元的随动强化J2模型。(Applies the custom material subroutine in ABAQUS, kinematic hardening J2 model applies to plane unit.)

齐民友的重温微积分，通俗易懂的经典数学书籍。 (Naritami revisit the Friends of calculus, a classic user-friendly math book.)

针对多径效应的影响，提出了一种基于矩阵束的MIMO 雷达低仰角快速估计方法。该方法同时考虑了发射多径信号和接收多径信号，采用单样本数信号矢量构造了一个前后向矩阵束，并利用两个酉矩阵对该矩阵束进行降维处理，最后采用广义特征值分解的总体最小二乘法来估计目标角度。算法不需要估计数据协方差矩阵，可在低 信噪比和单样本数情况下，有效地克服多径效应，实现同时多目标低仰角估计，相比最大似然算法，避免了谱峰搜索，计算量小。仿真结果验证了该算法的有效性。(To overcome the multipath effect, a fast algorithm for low elevation estimation for MIMO radar via matrix pencil is proposed. The signals both in transmit multipath and receive multipath are considered. Firstly, a forward-backward matrix pencil is formed based on the single-sampled vector. Secondly, the reduced-dimensional processing is applied to the matrix pencil via two unitary matrices. Finally, the generalized eigen-decomposition is employed to estimate the low elevation in multipath environments directly. Without the covariance matrix estimation, the proposed method can overcome multipath effect effectively in case of low SNR and estimate multi-target simultaneously. Compared with Maximum Likelihood (ML) method, it avoids spectrum peak searching and reduces the computational burden. Numerical results verify the effectiveness of this method)

随机微分方程求解的一个很好的参考资料，算是比较基础的，深入浅出(Stochastic differential equations of a good reference, as a relatively basic, easy to understand)