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This blog will focus on computer science and statistics.

Sunday, December 15, 2013

Computational science: overview


You may first hear about Computational science; it is concerned with constructing mathematical models and quantitative analysis techniques and using computers to analyze and solve scientific problems. [1] This long wired and boring definition maybe confuses you more, but don’t stop reading. Simply, it could be concluded to use computer to solve problems about computation.

In practical field, computational science is more concerned about computer simulation and other forms of computation: numerical analysis, theoretical computer science, and problems in various scientific disciplines.

The main applications of computer science:

1. Numerical simulations: Firstly, researchers could reconstruct and understand known events, such as earthquake, tsunamis and other natural disasters. From the simulation, we could study how the disasters formed and how long they need to active. Secondly, the scientist could predict future or unobserved situations, like weather prediction. I can’t imagine what will happen if no prediction for tornado.

2. Model fitting and data analysis: use data to produce appropriate model to reflect observations, and construct easily understanding graphic connection for data analysis. This applies lots on biological system and website.

3. Computational optimization: it is mainly about mathematical optimization. I will introduce the details in next blog.

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