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Unit1

于 2013-03-10 发布文件大小:4KB

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Algorithm gauss seidel load flow

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Simple
求解速度压力耦合的Simple半隐式迭代方法，该方法在计算流体动力学中应用极为广泛(To solve the pressure velocity coupling Simple semi-implicit iterative method, the method applied in the Computational Fluid Dynamics an extremely wide range of)

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湍流模型re计算流体力学软件udf 可以用于修改UDF文件(turbulence model FLUENT)

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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.)

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static_jiecheng
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quadTreeMortCode
编写求取下述矩阵四叉树四进制M码和十进制码程序，并将运算结果返回。 1, 1, 1, 1, 2, 2, 3, 3, 1, 1, 1, 1, 2, 2, 3, 3, 1, 1, 1, 1, 4, 4, 5, 5, 1, 1, 1, 1, 4, 4, 5, 5, 6, 6, 7, 8,13,13,14,14, 6, 6, 9,10,13,13,14,14, 11,11,12,12,15,16,19,19, 11,11,12,12,17,18,19,19 (Prepared to strike the following matrix quadtree quaternary M code decimal code and procedures, and the operation result returned. 1, 1, 1, 1, 2, 2, 3, 3, 1, 1, 1, 1, 2, 2, 3, 3, 1, 1, 1, 1, 4, 4, 5, 5, 1, 1, 1, 1, 4, 4, 5, 5, 6, 6, 7, 8,13,13,14,14, 6, 6, 9,10,13,13,14,14, 11, 11, 12,12,15,16,19,19, 11,11,12,12,17,18,19,19)

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cluster in quest聚类算法是基于密度和网格的聚类算法。对于大型数据库的高维数据聚类集合。(cluster in quest clustering algorithm is based on the density of the grid and clustering algorithm. For large database of high-dimensional data clustering pool.)

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