FDTD-

数学最优问题中，拉格朗日乘数法（以数学家约瑟夫·路易斯·拉格朗日命名）是一种寻找变量受一个或多个条件所限制的多元函数的极值的方法。(In the mathematical optimization problem, the Lagrange multiplier method (named by the mathematician Joseph Luis Lagrange) is a method of finding the extremum of a multivariate function which is restricted by one or more conditions.)

求解二维平面等熵涡的matlab程序，计算流体力学，MacCormack格式，均匀网格(Solving two-dimensional plane isentropic vortex matlab program, computational fluid dynamics, MacCormack format, uniform grid)

这是一个求解NACA0012翼型在不同马赫数与攻角下的流场的Fortran源代码。计算格式采用了原始AUSM、AUSMDV以及AUSM+格式。为了提高计算精度，使用了不同限制器的MUSCL插值。(This is a Fortran source code for solving the flow field around the NACA0012 airfoil at different Mach numbers and angles of attack. The scheme of AUSM, AUSMDV and AUSM+ are employed for this code. In order to improve the calculation accuracy, the MUSCL interpolation with various type limiter are used.)

Runge－Kutta45算法与Runge-Kutta54算法的matlab实现 数值分析课程代码(Runge-Kutta 45 algorithm and Runge-Kutta 54 algorithm matlab implementation Numerical Analysis Course Code)

一个用于解决马尔可夫过程的源代码,很适合学习随机过程的同学1(a Markov process for the settlement of the source code, are very suitable for studying stochastic process a classmate)

最新的关于贝叶斯聚焦算法IEEE文章。该算法通过利用信号DOA概率密度函数实现加权的阵列波前差值法，能实现宽带相干信号的DOA估计，并能减小阵列聚焦误差，提高宽带阵列频域波束形成鲁棒性。(In this paper, we present and study a Bayesian focusing transformation (BFT) for coherent wideband array processing, which takes into account the uncertainty of the direction of arrivals (DOAs). The Bayesian focusing method minimizes the mean-square error of the transformation over the probability densityfunctions(pdfs)oftheDOAs,thusachievingimprovedfocusing accuracy over the entire bandwidth)

用C语言程序通过先随机选取K个对象作为初始的聚类中心。然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。聚类中心以及分配给它们的对象就代表一个聚类。一旦全部对象都被分配了，每个聚类的聚类中心会根据聚类中现有的对象被重新计算。(C Programming Language by first randomly selected the K object as initial cluster centers. And then calculate the distance between each object and each seed cluster center, and assign each object to its nearest cluster center. Cluster centers, and the object assigned to them on behalf of a clustering. Once all the objects are assigned to each cluster cluster centers will be based on the existing object clustering is recalculated.)

说明：  机器学习的鸢尾花数据集的应用逻辑回归算法分类(Classification of iris data set by logical regression algorithm)

说明：  c++语言求解稀疏矩阵方程组的ICCG法源程序。参考：《工程电磁场数值计算分析与综合》 附录（Fortran90）.(c++ solves sparse matrix equations with the ICCG method.Reference: &quot Analysis and Synthesis of Numerical Electromagnetic Field ,&quot Appendix (Fortran90).)

说明：  贝叶斯网络学习算法——k2算法，包括对贝叶斯网络结构的学习，最后生成网络(Bayesian network learning algorithm- k2 algorithms, including Bayesian network structure learning, the last generation network)