Ashley Milsted
Ashley Milsted
An partial solution to https://github.com/PainterQubits/Unitful.jl/issues/649
Attempt to address #649. JuliaInterpreter pulls in fewer dependencies than Symbolics.
It seems I cannot precompile code that makes use of `uparse`. In Julia 1.9 I get the error ```julia nested task error: Evaluation into the closed module `Unitful` breaks incremental...
**Is your feature request related to a problem? Please describe.** Currently, to get a contraction output with a specified index ordering, one can use something like `ITensors.contract!(ITensor(k, i), randomITensor(i, j),...
Hi, I've noticed that `SquareEye`, since it is a `LinearAlgebra.Diagonal` preserves sparsity in many operations. For example: ```julia julia> using FillArrays julia> using SparseArrays julia> E = Eye(2) 2×2 Eye{Float64}...
Regarding the discussion in #140, do you think the `tensoralloc`, `tensorfree` interface is compatible with approaches like [this](https://juliasimd.github.io/StrideArrays.jl/stable/stack_allocation/)? Could one alternatively write backend code that uses `malloc` and `free` to...
**Description** Requesting all eigenvalues and eigenvectors of a large matrix `M = A * c` with ZHEEVR can take an amount of time that *strongly* depends the overall real scale...
On Julia 1.8.1 I noticed the following: ```julia function manymul(N, C, A, B, alpha, beta) for i in 1:N mul!(C, A, B, alpha, beta) #BLAS.gemm!('N', 'N', alpha, A, B, beta,...
To make it easy to get a fully dense time-dependent operator at a particular time, e.g. for diagonalization.
Basic version.