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Now this one is difficult, especially if efficiency is important (it is). We will probably end up with different backends with every single once having different constrains on elements which is possible to put into matrices. It's:
Double, Float, and Complex Double/Float for BLAS
(Storable a)/(Unbox a) if we're we store data in vectors
Anything else really. It's only bounded by craziness of backend implementor
@Shimuuar I'm wondering where to put any typeclasses that must be shared between dense-linear-algebra and the main package. In DLA itself, as a new module that will get re-exported ?
Unify dense and sparse lin.alg. , for a given underlying vector type, under one same interface
Blocked by #1 and #3
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