Fix typos [nfc] (#51709)

Author: LilithHafner

src/generic.jl

@@ -755,8 +755,8 @@ This is equivalent to [`norm`](@ref).
 @inline opnorm(x::Number, p::Real=2) = norm(x, p)
 
 """
-    opnorm(A::Adjoint{<:Any,<:AbstracVector}, q::Real=2)
-    opnorm(A::Transpose{<:Any,<:AbstracVector}, q::Real=2)
+    opnorm(A::Adjoint{<:Any,<:AbstractVector}, q::Real=2)
+    opnorm(A::Transpose{<:Any,<:AbstractVector}, q::Real=2)
 
 For Adjoint/Transpose-wrapped vectors, return the operator ``q``-norm of `A`, which is
 equivalent to the `p`-norm with value `p = q/(q-1)`. They coincide at `p = q = 2`.

src/lu.jl

@@ -76,7 +76,7 @@ Base.iterate(S::LU, ::Val{:done}) = nothing
 adjoint(F::LU{<:Real}) = TransposeFactorization(F)
 transpose(F::LU{<:Real}) = TransposeFactorization(F)
 
-# the following method is meant to catch calls to lu!(A::LAPACKArray) without a pivoting stategy
+# the following method is meant to catch calls to lu!(A::LAPACKArray) without a pivoting strategy
 lu!(A::StridedMatrix{<:BlasFloat}; check::Bool = true) = lu!(A, RowMaximum(); check=check)
 function lu!(A::StridedMatrix{T}, ::RowMaximum; check::Bool = true) where {T<:BlasFloat}
     lpt = LAPACK.getrf!(A; check)

test/dense.jl

@@ -878,7 +878,7 @@ end
     end
 end
 
-@testset "matrix logarithm is type-inferrable" for elty in (Float32,Float64,ComplexF32,ComplexF64)
+@testset "matrix logarithm is type-inferable" for elty in (Float32,Float64,ComplexF32,ComplexF64)
     A1 = randn(elty, 4, 4)
     @inferred Union{Matrix{elty},Matrix{complex(elty)}} log(A1)
 end

test/triangular.jl

@@ -564,7 +564,7 @@ end
     end
 end
 
-@testset "check matrix logarithm type-inferrable" for elty in (Float32,Float64,ComplexF32,ComplexF64)
+@testset "check matrix logarithm type-inferable" for elty in (Float32,Float64,ComplexF32,ComplexF64)
     A = UpperTriangular(exp(triu(randn(elty, n, n))))
     @inferred Union{typeof(A),typeof(complex(A))} log(A)
     @test exp(Matrix(log(A))) ≈ A