Comments (2)
Here I say, we should follow vector as a guide. There we don't have big([1,2,3])
defined. Of course there we have either big.([1,2,3])
or map(big,[1,2,3])
. For polynomials, map(big,p)
would be the proper way, as the broadcast semantics are different for polynomials than vectors. (Which is maybe a mistake, but one made a long time ago and not really possible to change.)
from polynomials.jl.
Didn't occur to me that map
would work. map(big, polynomial)
indeed works fine, thank you.
from polynomials.jl.
Related Issues (20)
- docs: advertise composition of polynomials HOT 1
- `ImmutablePolynomial` constructors seem to prevent good type inference HOT 4
- improved implementations of composition of polynomials HOT 4
- bad type inference for composition of `ImmutablePolynomial`s HOT 2
- Should `AbstractPolynomial` subtype `Function`? HOT 2
- Question: is multipliciation of polynomials implemented with FFT HOT 6
- type stability: `(::Polynomial)(::ImmutablePolynomial)` composition yields `ImmutablePolynomial` HOT 2
- Should `coeffs(::ImmutablePolynomial)` be type-stable? HOT 1
- Feature request: decompose a polynomial HOT 1
- Polynomials.fit fails with InexactError for Rational HOT 2
- Question about using HOT 2
- Warnings and Test failure with Julia 1.10 HOT 2
- Polynomial/Polynomial = Rational or? HOT 1
- (Low priority) Axis offset warning when using OffsetArrays HOT 3
- Conversions to and from RationalFunction broken HOT 3
- MakieCore doesn't need to be in `deps` HOT 12
- Issues with differentiating with respect to polynomial coefficients
- Polynomials.fit changes behavior somewhere between (inclusive) Julia 1.7.3 and Julia 1.10.4, the latter being self-inconsistent (problematic)
- Polynomials requiring MakieCore HOT 5
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from polynomials.jl.