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Using the Numpy library for compiled back-end numerical efficiency, `PYroMat` has been designed to efficiently handle large arrays of input data. The iterative back-end operations on hundred-thousand-element arrays consistently execute in a few seconds on a single core of an old laptop.
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Hi @jranalli and @chmarti1,
since the package depends on NumPy, you could insert a citation here, see: https://numpy.org/citing-numpy/.
PYroMat/joss2022/paper.md
Line 101 in ffe8f45
The text was updated successfully, but these errors were encountered: