fix typos (#220)

JuliaLinearAlgebra · Oct 19, 2023 · 0d6a42e · 0d6a42e
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diff --git a/docs/src/custom.jl b/docs/src/custom.jl
@@ -188,7 +188,7 @@ Base.delete_method(
     )
 )
 
-# The seconnd option is when your class of linear maps that are modelled by your custom
+# The second option is when your class of linear maps that are modelled by your custom
 # `LinearMap` subtype are invariant under taking adjoints and transposes.
 
 LinearAlgebra.adjoint(A::MyFillMap) = MyFillMap(adjoint(A.λ), reverse(A.size))

diff --git a/docs/src/history.md b/docs/src/history.md
@@ -131,7 +131,7 @@
 
 ## What's new in v3.4
 
-* In `WrappedMap` constructors, as implicitly called in addition and mutliplication
+* In `WrappedMap` constructors, as implicitly called in addition and multiplication
   of `LinearMap`s and `AbstractMatrix` objects, (conjugate) symmetry and positive
   definiteness are only determined for matrix types for which these checks are expected
   to be very cheap or even known at compile time based on the concrete type. The default
@@ -160,7 +160,7 @@
 
 ## What's new in v3.0
 
-* BREAKING change: Internally, any dependence on former `A*_mul_B!` methods is abandonned.
+* BREAKING change: Internally, any dependence on former `A*_mul_B!` methods is abandoned.
   For custom `LinearMap` subtypes, there are now two options:
   1. In case your type is invariant under adjoint/transposition (i.e.,
      `adjoint(L::MyLinearMap)::MyLinearMap` similar to, for instance,

diff --git a/docs/src/types.md b/docs/src/types.md
@@ -135,7 +135,7 @@ InverseMap
 
 Types for lazy [column-wise](https://en.wikipedia.org/wiki/Khatri%E2%80%93Rao_product#Column-wise_Kronecker_product)
 and [row-wise](https://en.wikipedia.org/wiki/Khatri%E2%80%93Rao_product#Face-splitting_product)
-Kronecker product, respectively, also referrerd to
+Kronecker product, respectively, also referred to
 as Khatri-Rao and transposed Khatri-Rao (or face-splitting) product.
 
 ```@docs

diff --git a/src/LinearMaps.jl b/src/LinearMaps.jl
@@ -368,7 +368,7 @@ representation `(M, N)`, i.e., for functions `f` acting on length `N` vectors an
 length `M` vectors (with default value `N=M`). Preferably, also the `eltype` `T` of the
 corresponding matrix representation needs to be specified, i.e., whether the action of `f`
 on a vector will be similar to, e.g., multiplying by numbers of type `T`. If not specified,
-the devault value `T=Float64` will be assumed. Optionally, a corresponding function `fc`
+the default value `T=Float64` will be assumed. Optionally, a corresponding function `fc`
 can be specified that implements the adjoint (or transpose in the real case) of `f`.
 
 The keyword arguments and their default values are:

diff --git a/src/khatrirao.jl b/src/khatrirao.jl
@@ -12,7 +12,7 @@ KhatriRaoMap{T}(maps::As) where {T, As} = KhatriRaoMap{T, As}(maps)
     khatrirao(A::MapOrVecOrMat, B::MapOrVecOrMat) -> KhatriRaoMap
 
 Construct a lazy representation of the Khatri-Rao (or column-wise Kronecker) product of two
-maps or arrays `A` and `B`. For the application to vectors, the tranpose action of `A` on
+maps or arrays `A` and `B`. For the application to vectors, the transpose action of `A` on
 vectors needs to be defined.
 """
 khatrirao(A::MapOrVecOrMat, B::MapOrVecOrMat) =

diff --git a/src/trace.jl b/src/trace.jl
@@ -33,7 +33,7 @@ function _tr(A::OOPFunctionMap{T}) where {T}
     end
     return s
 end
-# specialiations
+# specialisations
 _tr(A::AbstractVecOrMat) = tr(A)
 _tr(A::WrappedMap) = _tr(A.lmap)
 _tr(A::TransposeMap) = _tr(A.lmap)