dquxinghedao

对于协方差矩阵的一种计算方法，对于地震中的反演约束算法能起到很好的作用。(For a kind of covariance matrix calculation method)

采用拉格朗日算法求解机组组合问题，采用的是5机系统(Lagrange algorithm for unit commitment problem, 5 machine system)

用于求解二维欧拉流动方程的有限差分程序,基于NND法,求解精度较高.(Perfect fortran program by two dimensional NND finite difference method for Euler Equations on unstructured Grids, structured Grids and adaptive unstructured Grids. )

Legendre polynomial fitting(勒让德多项式拟合) 该算法程序找出N阶勒让德多项式你的的权值系数 (Legendre polynomial fitting (Legendre polynomial fitting) procedures to identify the algorithm N-order Legendre polynomials your weight coefficient)

matlab中高斯迭代法使用的m文件，可以用于方程组近似值的求解。(m file matlab Gauss iterative method can be used for approximation of solving equations.)

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)

电弧炉对电网影响仿真软件，希望对大家有所帮助(EAF impact on the power grid simulation software, want to help everyone)

说明：  求任意一点到任意点的距离的最小值！ 对于求解一些最短距离的问题可以提供一些帮助！(seek any point to any point of the minimum distance! For some of the shortest distance to solve the problem, it can provide some help!)

分别对beta估计值模拟分析、非中心对称分布、卡方拟合优度检验、筛选抽样随机数抽取、有限样本性质模拟这5个内容进行了编程说明(The five contents of beta estimation simulation analysis, non-centrosymmetric distribution, chi-square goodness-of-fit test, random number extraction of screening sampling and Simulation of finite sample properties are explained by programming.)

多项式的加减法运算，输入的多项式带有未知数x和数字(Polynomial addition and subtraction calculations)