0629

流体力学SIMPLE算法（C语言编程实现）需自己设定边界条件(SIMPLE algorithm)

气象数据计算超等许,能够计算在风厂中气象数据的票性诡计(meteorological data superfine promised to calculate the wind plant meteorological data of the votes sexual tricks)

二分法，用于多项式求解，迭代12次能达到很高的精度(Dichotomy for polynomial solving, iterative 12 times to achieve high precision)

四阶龙格库塔法 数值计算 C++源码 可直接运行(Fourth-order Runge-Kutta numerical method C++ source code can be run directly)

2维的FDTD C程序(2-dimensional FDTD C procedures)

渗流计算，渗流浸润线的计算，溢出点高程的确定(seepage computation)

FDTD Solutions 是一款三维麦克斯韦方程求解软件，可以分析紫外、可见、红外至太赫兹和微波频率段电磁波与具有亚波长典型尺寸复杂结构的相互作用。 FDTD Solutions 使得设计师能够从容地面对光子设计复杂的挑战问题。快速原型制造和高精度仿真大大降低对费用高昂的原型试验的依赖，因而可以对设计概念进行快速评价，进而缩短产品研发周期，降低费用。 FDTD Solutions 可以帮助你成功应对各种复杂的应用，从基础光子学研究，到目前工业界领先应用领域如成像、照明、生物光子学、光伏、以及众多其他应用。(FDTD Solutions is a three-dimensional software for solving Maxwell' s equations, we can analyze the ultraviolet, visible, infrared and microwave to terahertz frequencies of electromagnetic waves having a typical size of subwavelength interaction of complex structures. FDTD Solutions allows designers to calmly face the complex photonic design challenges. Rapid prototyping and simulation precision greatly reduce dependence on costly prototype testing, which can quickly uate design concepts, and thus shorten the product development cycle and reduce costs. FDTD Solutions can help you successfully deal with a variety of complex applications, leading application areas such as imaging, lighting, biophotonics, photovoltaics, and many other applications basic photonics research, the current industry.)

fluent中用于修改湍流粘度系数的自定义函数(udf to modify turbulence viscosity coefficient in fluent)

用C++实现排队论中M/M/1模型。简单方便。(Using C++ implementation in the M/M/1 queuing theory model. Easy and convenient.)

说明：  Optics聚类算法 OPTICS没有显示地产生一个数据集合簇，它为自动和交互地聚类分析计算一个簇次序。这个次序代表了数据基于密度地聚类结构。它包含地信息，等同于从一个宽广地参数设置范围所获得的基于密度的聚类(Optics do not show clustering algorithm OPTICS to produce a collection of data clusters, it is automatically and interactively computing cluster analysis a cluster order. This order represents the data to cluster based on the density structure. It contains in information from a broadly equivalent range of parameters obtained by density-based clustering)