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CUDA平行的優化，以矩陣乘法為基礎。透過ShareMemory做加速(CUDA ShareMem)

利用Python实现特征的MinMax标准化和Z-Score标准化两种特征归一化方法。并用原特征、两种归一化特征分别进行模型训练，比较模型性能。(Two normalization methods of MinMax normalization and Z-Score standardization are implemented by Python. The model is trained by the original feature and two normalization features respectively, and the performance of the model is compared.)

能让大家更好的理解Hadoop Map Reduce的内容，并讲解如何安装hadoop，如何在Linux环境下配置Hadoop和ssh等，以及Hadoop等在大数据处理方面的应用。

说明：  基于matlab语言，用传递矩阵法求解转子临界转速(Solution of Rotor Critical Speed by Transfer Matrix Method)

说明：  Parallel Computing for some samples!

量子计算入门学习，编写了简单的基本程序供大家学习。(Quantum computing started learning to write a simple basic procedures for everyone to learn.)

mpi的源码，示例程序等，主要用于对mpi并行编程程序的研究。(mpi source code, sample programs, mainly for mpi parallel programming procedures.)

一些关于并行计算的资料，对初学并行计算的人会有些许帮助(Information about parallel computing, parallel computing for beginners who have a little help)

opemmp c-c++ document

说明：  Hinf use in robust control(robust control)