PloySpline

实现任意结构阵列的恒定束宽波束形成法，采用贝塞尔函数分解(Realize the structure of arrays of arbitrary constant beamwidth beamforming method, the use of Bessel function decomposition)

用C语言编写的Fluent UDF实例，包含Adjust宏，profile宏等八个实例教程，快速上手(The UDF is for computational fluid dynamics software Fluent, it concludes the Profile.c,the Adjust.c)

改程序用于大地电磁法的一维反演，运用波斯蒂克反演方法(Reform program for the one-dimensional inversion of magnetotelluric method, the use of the Persian Mystic inversion method)

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)

椭圆偏微分方程求解函数，调用该函数可以解任意椭圆偏微分方程(Elliptic partial differential equations to solve the function, call this function can solve any elliptic partial differential equations)

SAP5 源代码，完整的有限元源程序。LS1.FOR-LS10.FOR(SAP5 Source Code)

有限元弧长法控制计算的原理，中文英文的都有，并介绍了具体程序的流程图(Finite element calculation of arc-length method control principle, Chinese English have, and describes specific procedures flowchart)

基于随机共振的微弱信号检测仿真，且包含求解郎之万方程的四阶龙格库塔算法源程序。(Fourth-order Runge-Kutta algorithm source simulation based on stochastic resonance in weak signal detection, and includes solving the Langevin equation.)

数值计算各算法的程序,包括:牛顿迭代法,超松驰迭代法,微分法等.对于初学数值分析这门课程的人有很大的帮助.(Numerical calculation procedure of the algorithm, including: Newton iteration, ultra-relaxation iteration method, differential method and so on. Beginner numerical analysis for this course were very helpful.)

说明：  some article about Bayes Thinking