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ctranspose -> adjoint #102

Merged
merged 1 commit into from
Aug 22, 2017
Merged

ctranspose -> adjoint #102

merged 1 commit into from
Aug 22, 2017

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fredrikekre
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fredrikekre referenced this pull request in JuliaLang/julia Aug 22, 2017
@martinholters @andreasnoack
RowVector, pinv, and quasi-division (#23067)
f1d3556 
* Make pinv(::AbstractVector) return a RowVector

Also broaden from StridedVector to AbstractVector while at it and don't
employ full matrix SVD.

* Add pinv(::RowVector)

* Add /(::Number, ::AbstractVector)

Also start testing consistency between division and multiplication with
pseudo-inverse involving vectors.

* Add \(::RowVector, ::RowVector), returning a scalar

* Fix \ for AbstractVector LHS

Let \(::AbstractVector, ::AbstractMatrix) return a RowVector and
\(::AbstractVector, ::AbstractVector) return a scalar.
@ararslan ararslan merged commit 80b6862 into JuliaCI:master Aug 22, 2017
@fredrikekre fredrikekre deleted the fe/adjoint branch August 22, 2017 19:08
Keno pushed a commit that referenced this pull request Feb 4, 2022
@goerz @jrevels
Assign directly deep into BenchmarkGroup (#102)
ca42421 
* Assign directly deep into BenchmarkGroup

This allows to assign directly deep into a BenchmarkGroup with a Vector
key, creating all intermediate levels as necessary:

    julia>  using BenchmarkTools
    julia>  g = BenchmarkGroup()
    julia>  g[[1, "a", :b]] = "hello"
    "hello"

Closes #101

* Test direct deep assignement into BenchmarkGroup

* Update manual
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@ararslan ararslan ararslan approved these changes

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@fredrikekre @ararslan