RandomMatrices.jl

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Bump actions/checkout from 2 to 4

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Bumps [actions/checkout](https://github.com/actions/checkout) from 2 to 4. Release notes Sourced from actions/checkout's releases. v4.0.0 What's Changed Update default runtime to node20 by @​takost in actions/checkout#1436 Support fetching without the --progress option...

dependabot[bot]

Bump codecov/codecov-action from 1 to 3

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Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 1 to 3. Release notes Sourced from codecov/codecov-action's releases. v3.0.0 Breaking Changes #689 Bump to node16 and small fixes Features #688 Incorporate gcov arguments for the Codecov...

dependabot[bot]

Hi there, First of all thanks for this nice package. I had a problem when I tried to use the function `Stewart` to generate unitary matrices in my simulation though....

pohwanwuzan

It would be nice if the various `rand(...)` functions supported returning an `SMatrix`, for example if `::Val{n}` is passed instead of `n::Integer`. This improves performance and reduces memory allocations in...

stevengj

Is this a reliable test of the R matrix in the QR decomposition having only positive eigenvalues? If yes, then this method should be renamed (at least to lower case...

jamblejoe

Hi, I saw in the code (`HaarMeasure.jl`) two methods to generate Haar matrices: `rand` and `randfast`. Can one savely use `fastrand`? Does it have some corrections as `rand`? Which? Maybe...

jamblejoe

unable to automatically install Rmath

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I'm using Julia1.3.1 now and today I failed to install RandomMatrices.This is my status `[c7e460c6] ArgParse v1.1.0 [6e4b80f9] BenchmarkTools v0.5.0 [50ba71b6] BitBasis v0.6.1 [c5f51814] CUDAdrv v6.0.0 [be33ccc6] CUDAnative v2.10.2 [b48ca7a8]...

LWKJJONAK

They are "almost" a field, but in fact they are a division ring. Saw mention of quaternions as a field in some of the comments.

alanedelman

fix randomgrowth.jl

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This is a julia bug? ```julia julia> G = rand(100,100); julia> G[G .== 0.5] = 1 ERROR: MethodError: no method matching setindex_shape_check(::Int64, ::Int64) Closest candidates are: setindex_shape_check(::AbstractArray{#s72,1} where #s72, ::Integer)...

shashi

Ref: https://discourse.julialang.org/t/package-compatibility-caps/15301

KZiemian