Alex's Notes
1
Site
1. Programming notes
1. Machine Learning
3. Research Notes
4. Quantitative Investment Notes
2. Pseudo Spectral Method
3. Applied Stochastic Analysis home works
4. My Music
5. A collection of my linux tips
6. From Ubuntu to Arch.
7. Math Notes
8. 讲座笔记
9. 用python的Sphinx工具整理笔记
10. 代理服务
11. Learning notes on fly!
12. 量化投资学习资料推荐
13. 分级基金优先份额Monte Carlo模拟定价C++实现
14. Indices and tables
Page
1. Programming notes
« 叶时炜的笔记本
1. MPI »
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时炜观察
Site
1. Programming notes
1. Machine Learning
3. Research Notes
4. Quantitative Investment Notes
2. Pseudo Spectral Method
3. Applied Stochastic Analysis home works
4. My Music
5. A collection of my linux tips
6. From Ubuntu to Arch.
7. Math Notes
8. 讲座笔记
9. 用python的Sphinx工具整理笔记
10. 代理服务
11. Learning notes on fly!
12. 量化投资学习资料推荐
13. 分级基金优先份额Monte Carlo模拟定价C++实现
14. Indices and tables
Source
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Programming notes
¶
1. MPI
1.1. Lecture 1 Basic Functions
1.2. Lecture 2
1.3. Lecture 3: 聚合通信
1.4. 进程组和通信其
1.5. 文件输入输出
1.6. POSIX信号
1.7. POSIX线程
1.8. External Data Representation(XDR)
1.9. 单边通讯 One-Sided Communication
1.10. MPI进程管理和域间通信
1.11. 并行算法的评估
1.12. 搜索算法和动态平衡(Parallel Search)
1.13. 并行计算(II)作业
1.14. 非重叠区域分解:
2. MATLAB
2.1. handle files::
3. VBA notes
3.1. VBA 连接mysql
3.2. OUTLOOK收到邮件后自动执行宏
4. Planning an Approach to a TopCoder Problem
4.1. Pattern Mining and the Wrong Mindset
4.2. Coding Kata
4.3. Approach Tactics(策略)
4.4. Breaking Down a Problem
4.5. Plan to Debug
4.6. Atomic Code
5. SWIG wrap c++ into python
6. FFTW Learning Notes
6.1. FFTW基本介绍
6.2. FFTW基本教程
6.3. Other Important Topics
7. SCIPY & NUMPY learning’s documentation!
7.1. 关于本文档,以及SCIPY简单介绍
7.2. Scipy入门
7.3. 用python做科学计算初步
8. 数据库应用
8.1. 常见的四种数据库设计模式
9. MySQL 使用笔记