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Sign up[PRE REVIEW]: multivar_horner: A Python package for computing Horner factorisations of multivariate polynomials #2224
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Hello @arfon, thanks for your quick response. Could you tell me which parts I should clarify or which parts are unclear? I thought I had described the advantages and potential use cases of the package extensively in the first section "Summary". The following sections give a more detailed explanation of the implemented approach and underpin the advantages with benchmarks. I am looking forward to your review. |
should I suggest reviewers myself? |
I think a little more detail in the summary section would be useful. For example, are there applied research fields where the factorisation of multivariate polynomials is a key aspect of the research work/analysis?
Yes, please go ahead but as I mentioned above, we won't actually begin the review process until an editor is assigned to this paper which may be some time due to a large backlog of submissions. |
I clarified the possible application of this package in the paper and added example applications where the package is already being used. |
Based on the topics (applied mathematics, numerical analysis...) and preferred language (Python) they provided, I suggest the following reviewers:
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PDF failed to compile for issue #2224 with the following error: Error reading bibliography ./paper.bib (line 72, column 3): |
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@whedon invited @dpsanders as editor |
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whedon commentedMay 22, 2020
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edited
Submitting author: @MrMinimal64 (Jannik Michelfeit)
Repository: https://github.com/MrMinimal64/multivar_horner
Version: v.2.0.0
Editor: @dpsanders
Reviewer: Pending
Managing EiC: Arfon Smith
Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.
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