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- [x] using macros
- [x] using "match types"
- [x] using "Dual Numbers"
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For PLONK, we only need a subset of the `ark-poly-commit` interface and a lot of the `ark-poly-commit` APIs are unnecessarily restrictive. I propose the following trait for the generic PLONK interface…
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F_p 上の多項式の因数分解
_Originally posted by @hos-lyric in https://github.com/yosupo06/library-checker-problems/issues/3#issuecomment-530911792_
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And if so, what kind of fast transform is applicable? I've heard they're related to Jacobi polynomials with negative parameters, but they might transform nicely to Taylor polynomials.
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A lot of the benchmark code needs to create random polynomials, blobs, etc -- we can group all of this into a test_utils/bench_utils crate to avoid deduplication
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Hi Jonathan,
Thanks a lot for this great package.
This is not really an issue/problem this is more a question. I want to use non-conventional polynomials for PCE. I know it is possible to define…
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Are multivariate polynomials planned to be supported, or does this package focuses specifically on univariate polynomials?
For example, I would be interested in performing the following factorizati…
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This issue is inspired by [this](https://math.stackexchange.com/questions/4250154/cayley-hamilton-in-macaulay2) Stack Exchange question that I randomly ran into.
Would be great if the following wor…
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https://numpy.org/doc/stable/reference/routines.polynomials.html
https://numpy.org/doc/stable/reference/generated/numpy.polynomial.polynomial.Polynomial.fit.html#numpy.polynomial.polynomial.Polynomia…
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Sometimes columns are not stored contiguously.
I think assuming `stride(A,1) == 1` is fine (that is, `ColumnMajor()`)