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Here is an example:
```julia
julia> using Symbolics
julia> @variables x
1-element Vector{Num}:
x
julia> (x+π)^2 |> expand
ERROR: MethodError: no method matching Int64(::Irrational{:π})
…
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Getting some outputs that's different from what I would get from `sympy`. Not sure if intentional.
- `symengine.__version__ : 0.6.1`
- `sympy.__version__ : 1.5.1`
- Solution from `sympy` matches …
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If I do `lambdify(x,sp.legendre(m,x),'numpy')` and plot the corresponding legendre polynomial for relative high degree (e.g. n = 44) in the interval [-1 , 1], the function diverges at the edges.
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I'm not sure if this is a problem with BasisMatrices or somewhere deeper in Julia, so apologies if this is not the right place. Anyway, on my computer (Julia 0.6.0) and also on JuliaBox (0.6.2), the f…
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The cooling curves currently stop at 300eV, which is not great as upstream temperatures can reach that for some devices:
 or with sum of products optimization like in https://github.com/zkcrypto/bls12_381/pull/84
- [x] [FFT optimizations?](http…
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Currently, I'm using Sage's `variety` method to solve systems of multivariate polynomials. However, the Singular backend is extremely slow in some [cases](https://priv.pub/posts/pbctf-2020/#special-gi…
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In https://discourse.julialang.org/t/using-polynomials-jl-with-cuda-jl/80580 we find the following hangs:
```
using CUDA, Polynomials
a = CuVector([1.0f0, 1.0f0, 1.0f0])
Polynomial(a)
```
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Thanks for this exciting package, which I am benchmarking against AMRVW.jl, Polynomials.jl, PolynomialRoots.jl, and my own companion matrix eigval implementation.
However, because your package choo…
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| | |
|--------------------|----|
| Bugzilla Link | [PR15560](https://bugs.llvm.org/show_bug.cgi?id=15560) |
| Status | NEW |
| Importance | P normal |
|…