two-dimensional-turbulent-fluid-

学习fortran的必备，simple算法，拥有完整注释，便于学习交流，是快速学习数值传热学的利器(Learning fortran essential, simple algorithm, with complete notes, facilitate learning exchanges)

通过测量光学薄膜的反射率曲线反演其光学常数，包括厚度与折射率(By measuring the optical thin film reflectivity curve inversion of its optical constants, including the thickness and refractive index)

把 Maxwell 方程式在时间和空间领域上进行差分化。利用蛙跳式(Leap frog algorithm)--空间领域内的电场和磁场进行交替计算，通过时间领域上更新来模仿电磁场的变化，达到数值计算的目的。(The Maxwell equations in time and space on the field differencing. Using the leapfrog (Leap frog algorithm)- Space field for alternating electric and magnetic fields calculated by the time domain electromagnetic field is updated to mimic the changes to achieve the purpose of numerical calculation.)

室内无线定位技术，基于两次最小二乘法的matlab仿真程序(Indoor wireless positioning technology, based on the two least-squares method matlab simulation program)

主要是基于matlab编程的机器学习的各种算法的实现，对补补基础很好(Matlab programming machine learning algorithm, Bubu basis of good)

基于abaqus编辑的用户自定义单元，二维四节点单元(the uel for 2d ELEMENT based on abaqus)

利用FDTD算法简单计算波导耦合环的M文件。( M-file of using FDTD approach simulation the waveguide coupling ring)

模拟隧道开挖后受力及变形，初始地应力清零及接触面分析处理。( U6A21 u62DF u96A7 u9053 u5F00 u6316 u53D7 u53B0 u53E u53E u53F8 u53E U6790 u5904 u7406 u3002)

求解二阶变系数常微分方程,主要用于涡激振动中频率响应的计算(Solving second-order ordinary differential equations with variable coefficients)

针对传统的算法如遗传算法、粒子群算法等在TSP问题上求解精确性和求解规模上都还有一定的不足，本文提出了一种基于动态规划思想的粒子群优化算法。该算法用动态规划的方法实现粒子间的信息交互和粒子的进化，并且将粒子群中的粒子按无标度信息指导网络拓扑图的方式进行连接。仿真结果表明该方法能有效地减小误差率，提高解的精确，同时还保持了较低的计算复杂度，具有良好的稳健性。(TSP problem solving for the traditional algorithms such as genetic algorithms, particle swarm optimization accuracy and solving the scale, there is a certain lack of a dynamic programming algorithm-based particle swarm optimization algorithm. The algorithm using dynamic programming method to achieve the evolution of information exchange between the particles and the particles, and particle swarm particle scale-free information guide network topology map to connect. The simulation results show that this method can effectively reduce the error rate and improve the solution precision, while maintaining a low computational complexity, good soundness.)