transientConduction

Architectural structures

这个文档包含四种不同的功能求解非线性方程组。包括牛顿 - 拉夫逊，定点，正割，二分法方法。这项工作是我的课程的一部分，在数值计算的本科课程。它包括时序和表的打印输出进行分析和比较。有很多的观察，你可以：例如，对于一个特定的公式，一种方法可能运行的迭代次数最少，而另一个将运行更多的迭代，但计算速度最快的。(This document contains four different functions for solving nonlinear equations. Including Newton- Raphson, fixed, Secant, bisection method. This work is a part of my course in numerical undergraduate courses. It includes the timing and tables to analyze and compare the printout. There are a lot of observation, you can: For example, a specific formula, a method may be running a minimum number of iterations, while the other will run more iterations, but the calculation is the fastest.)

基于cpso文章，给出的一个matlab代码，添加测试函数即可运行。(Based on cpso, given a matlab code, add test function can be run.)

使用个股日内髙频收益率计算己实现值进行分析,同时计算得到二阶矩 和高阶矩值并进行对比。本文根据己实现量的大小将所有样本股分为己实现值由 小到大的姐别,分别跟踪各股票组合的收益,探索预期收益与个股己实现值之间 的变化关系,然后将分组的结果应用于多空策略,为提高资产配置收益提供参考。 同时,将各己实现变量和各类对预期收益产生影响的控制变量放在一起构建 Fama-MacBeth截面回归,分析高频已实现量是否具有定价能力。(The realized value is calculated by using the daily gust rate of return of individual stocks, and the second-order moments are obtained by calculating at the same time. Comparisons are made with higher order moment values. This paper divides all sample stocks into realized values according to the size of realized stocks. Sisters from small to large track the earnings of each stock portfolio, and explore the relationship between expected earnings and the realized value of each stock. Then the grouping results are applied to the multi-empty strategy to provide reference for improving asset allocation returns.)

Semi-supervised learning

利用floyd算法能解决最短路径的选择功能还有最短路径的距离(Use of Floyd algorithm can solve the shortest path choice function and the shortest path distance)

matlab describtion of lte phyisical layer

利用神经网络工具箱，实现数据拟合，预测控制(Using neural network toolbox, data fitting, predictive control)

切削力分析切削力分析切削力分析切削力分析(cutting forcecutting forcecutting force)

一系列基于matlab的风机仿真模型 十分十分有价值 内部资料无偿共享(Matlab-based wind turbine simulation model is very valuable internal information free of charge sharing)