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fix typos (#220)
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docs/src/custom.jl

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)
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)
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# The seconnd option is when your class of linear maps that are modelled by your custom
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# The second option is when your class of linear maps that are modelled by your custom
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# `LinearMap` subtype are invariant under taking adjoints and transposes.
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LinearAlgebra.adjoint(A::MyFillMap) = MyFillMap(adjoint(A.λ), reverse(A.size))

docs/src/history.md

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## What's new in v3.4
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* In `WrappedMap` constructors, as implicitly called in addition and mutliplication
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* In `WrappedMap` constructors, as implicitly called in addition and multiplication
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of `LinearMap`s and `AbstractMatrix` objects, (conjugate) symmetry and positive
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definiteness are only determined for matrix types for which these checks are expected
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to be very cheap or even known at compile time based on the concrete type. The default
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## What's new in v3.0
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* BREAKING change: Internally, any dependence on former `A*_mul_B!` methods is abandonned.
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* BREAKING change: Internally, any dependence on former `A*_mul_B!` methods is abandoned.
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For custom `LinearMap` subtypes, there are now two options:
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1. In case your type is invariant under adjoint/transposition (i.e.,
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`adjoint(L::MyLinearMap)::MyLinearMap` similar to, for instance,

docs/src/types.md

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Types for lazy [column-wise](https://en.wikipedia.org/wiki/Khatri%E2%80%93Rao_product#Column-wise_Kronecker_product)
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and [row-wise](https://en.wikipedia.org/wiki/Khatri%E2%80%93Rao_product#Face-splitting_product)
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Kronecker product, respectively, also referrerd to
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Kronecker product, respectively, also referred to
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as Khatri-Rao and transposed Khatri-Rao (or face-splitting) product.
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```@docs

src/LinearMaps.jl

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length `M` vectors (with default value `N=M`). Preferably, also the `eltype` `T` of the
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corresponding matrix representation needs to be specified, i.e., whether the action of `f`
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on a vector will be similar to, e.g., multiplying by numbers of type `T`. If not specified,
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the devault value `T=Float64` will be assumed. Optionally, a corresponding function `fc`
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the default value `T=Float64` will be assumed. Optionally, a corresponding function `fc`
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can be specified that implements the adjoint (or transpose in the real case) of `f`.
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The keyword arguments and their default values are:

src/khatrirao.jl

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khatrirao(A::MapOrVecOrMat, B::MapOrVecOrMat) -> KhatriRaoMap
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Construct a lazy representation of the Khatri-Rao (or column-wise Kronecker) product of two
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maps or arrays `A` and `B`. For the application to vectors, the tranpose action of `A` on
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maps or arrays `A` and `B`. For the application to vectors, the transpose action of `A` on
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vectors needs to be defined.
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"""
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khatrirao(A::MapOrVecOrMat, B::MapOrVecOrMat) =

src/trace.jl

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end
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return s
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end
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# specialiations
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# specialisations
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_tr(A::AbstractVecOrMat) = tr(A)
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_tr(A::WrappedMap) = _tr(A.lmap)
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_tr(A::TransposeMap) = _tr(A.lmap)

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