Hello, I started a FEM library, funfem [1], but I stopped it for the moment; Haskell is my hobby and I work on FEM all day long, I prefer to focus on orthogonal problems for home projects. It is a very naive implementation. Far from a version 0.0.1 too, i.e. unusable at the moment. I did not test the performance as it was not my main goal, so the following may not be completely relevant to your purpose. I define a type Tensor [2], which is a sparse matrix based on Data.Map. Not sure how efficient it is, I chose to start simple. The resulting conjugate gradient [3] is very clear. Please let us know how it goes, it's good to see more traction towards Haskell from our field, and I'll be glad to use your library ! Best regards, Adrien [1] http://www.funfem.org [2] https://github.com/adrienhaxaire/funfem/blob/master/Numeric/Funfem/Algebra/T... [3] https://github.com/adrienhaxaire/funfem/blob/master/Numeric/Funfem/Algebra/S... On Thursday 29 November 2012 14:03:04 Mark Flamer wrote:
I am looking to continue to learn Haskell while working on something that might eventually be useful to others and get posted on Hackage. I have written quite a bit of Haskell code now, some useful and a lot just throw away for learning. In the past others have expressed interest in having a native Haskell sparse matrix and linear algebra library available(not just bindings to a C lib). This in combination with FEM is one of my interests. So my questions, is anyone currently working on a project like this? Does it seem like a good project/addition to the community? I'm also interested if anyone has any other project idea's, maybe even to collaborate on. Thanks
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_______________________________________________ Haskell-Cafe mailing list Haskell-Cafe@haskell.org http://www.haskell.org/mailman/listinfo/haskell-cafe -- Adrien Haxaire www.adrienhaxaire.org | @adrienhaxaire