SAP4源程序

修正剑桥模型在不排水条件下的源程序，很有用，是最近做项目是研究的课题。(cambridge with fortran)

进行PQ分解，计算电力系统潮流的有效方法，应用广泛(PQ decomposition is an effective method for calculating power flow in power system.)

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.)

说明：  对常微分方程进行数值解的matlab函数(Matlab function for numerical solution of ordinary differential equation)

本程序是采用FDTD算法结合PML吸收边界，对对称三层平板光波导的模式场仿真(This program uses FDTD algorithm and PML absorbing boundary to simulate the mode field of symmetrical three-layer planar optical waveguide.)

一对一分配 匈牙利算法 无人机目标分配 目标静止(One-to-one assignment)

一个对Fluent中k-e湍流模型的修正udf程序，c语言(One pair ke turbulence model in Fluent udf amendment procedures)

自适应网格生成的文章，广泛的应用到有限元和无网格方法中(a nice paper of adaptive mesh generation)

实现扫雷功能,基于c语言实现的，能够控制输入矩阵的大小(Implement demining capabilities, based on the c language, able to control the size of the input matrix)

Ridge Regression RR 岭回归估计，是非常有用的非线性时间序列算法，在局部多项式预测中非常有用。(Ridge Regression RR ridge regression estimates, it is useful to nonlinear time series algorithms, in Local Polynomial prediction in very useful.)