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Copy file name to clipboardExpand all lines: README.md
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@@ -19,8 +19,8 @@ GraphBLAS# is a GPGPU-based [GraphBLAS](https://graphblas.org/)-like API impleme
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| Left of 't1
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| Right of 't2
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```
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So, type of matrix-matrix elementwise oertion is ```Matrix<Option<'t1>> -> Matrix<Option<'t2>> -> (AtLeastOne<'t1,'t2> -> Option<'t3>) -> Matrix<Option<'t3>>```.
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- No semirings. Just functions. Ofcourse one can implement semirings on the top of provided API.
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So, type of matrix-matrix elementwise operation is ```Matrix<Option<'t1>> -> Matrix<Option<'t2>> -> (AtLeastOne<'t1,'t2> -> Option<'t3>) -> Matrix<Option<'t3>>```.
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- No semirings. Just functions. Of course one can implement semirings on the top of provided API.
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- Minimal core: high-order functions allows us to minimaze core by functions unification. For example, such functions as matrix-matrix addition, matrix-matrix element-wise multiplication, masking all are partial case of `map2` function.
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