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本课程是航空航天类院校本科飞行器设计与工程专业教学计划中的一门技术基础课。为飞行器设计与工程专业学生的必修课。本课程的目的和任务是使学生掌握流体力学基本知识和空气动力学的基本概念、基本理论，以及解决空气动力学问题的基本方法和分析手段。本课程的内容可分为两大部分：低速空气动力学和可压缩空气动力学，包括了空气动力学的基本概念、低速流动和可压缩无粘流动的基本原理、绕翼型和机翼的不可压缩流动的薄翼理论和有限翼理论、激波理论、翼型亚音速和超音速线化理论及应用等。(This course is a class of undergraduate aerospace vehicle design and engineering teaching program in a technical basic course.)

任意长度的rs码编译码，编译通过，易于扩展学习(s codes and decoding of any length, compile, easy to extend learning)

基于matlab的无刷直流电机仿真速度PI，电流PI双闭环仿真(Matlab-based simulation of brushless DC motor, using speed PI, current PI double closed loop control.)

基于matalab的信道自适应均衡技术研究(Matalab based channel adaptive equalization technology research)

matlab数字图象处理的主要源码，对初学者很有帮助(digital image processing matlab main source code, very helpful for beginners)

非常经典的基于模糊信息处理的数据融合方法研究.用MATLAB 实现的。 请大家好好学习(Very classical information processing based on fuzzy data fusion method. Using MATLAB realization. Please study hard)

用MATLAB实现带状矩阵A的LU分解，参数为A的主对角线元素组成的列向量(A MATLAB implementation by the LU decomposition of banded matrix, the parameters for the A' s main diagonal elements of the column vector)

随机载荷模拟及雨流计数方法在matlab中的实现(Random load simulation and rain flow counting method implemented in matlab)

求局部最小值与卷积，lmax为MATLAB的历程 工程里是具体的c函数(Find local minimum and convolution, lmax for the project in the history of MATLAB is the specific function of c)

Bin packing problem belongs to the class of NP-hard problems, like the others that were discussed in previous articles. The task is to pack a set of items of different size into bins of fixed size in such way that minimal number bins is used. Depending on the requirements, bin packing can be single-dimensional (1D) or multi-dimensional (2D, 3D...)