Difference between revisions of "Scientific computing"
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== Applications and projects == |
== Applications and projects == |
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| − | * [https://github.com/dorchard/pde-specs Partial differential equation (PDE) specifications |
+ | * [https://github.com/dorchard/pde-specs Partial differential equation (PDE) specifications] (early prototype) |
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| + | <blockquote> |
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| + | This project provides a way to encode partial differential equations (PDEs) in Haskell code, and then use these to test the suitability (by computing absolute error) of any solution/approximations. (also generate GNUplot graphs of the error, and outputs LaTeX equations of the PDE specifications). |
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| + | </blockquote> |
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== People interested in scientific computing in Haskell == |
== People interested in scientific computing in Haskell == |
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Revision as of 21:19, 9 April 2014
Scientific computing (sometimes also called computational science) is the approach of using computers to do science, whether it be in collecting and analysis data or programming computer models and simulations. This page collects resources for scientific computing in Haskell, including uses of Haskell in science.
Libraries
There are a number of libraries that are useful libraries for scientific computing details elsewhere on the Haskell Wiki:
- http://www.haskell.org/haskellwiki/Applications_and_libraries/Bioinformatics
- http://www.haskell.org/haskellwiki/Applications_and_libraries/Mathematics
Applications and projects
- Partial differential equation (PDE) specifications (early prototype)
This project provides a way to encode partial differential equations (PDEs) in Haskell code, and then use these to test the suitability (by computing absolute error) of any solution/approximations. (also generate GNUplot graphs of the error, and outputs LaTeX equations of the PDE specifications).