docstring improvements

Author: lkdvos

src/interface/decompositions.jl

@@ -16,7 +16,7 @@ Algorithm type to denote the standard LAPACK algorithm for computing the QR deco
 a matrix using Householder reflectors. The specific LAPACK function can be controlled using
 the keyword arugments, i.e.  `?geqrt` will be chosen if `blocksize > 1`. With
 `blocksize == 1`, `?geqrf` will be chosen if `pivoted == false` and `?geqp3` will be chosen
-if `pivoted == true`. The keyword `positive=true` can be used to ensure that the diagonal
+if `pivoted == true`. The keyword `positive = true` can be used to ensure that the diagonal
 elements of `R` are non-negative.
 """
 @algdef LAPACK_HouseholderQR
@@ -27,17 +27,17 @@ elements of `R` are non-negative.
 Algorithm type to denote the standard LAPACK algorithm for computing the LQ decomposition of
 a matrix using Householder reflectors. The specific LAPACK function can be controlled using
 the keyword arugments, i.e. `?gelqt` will be chosen if `blocksize > 1` or `?gelqf` will be
-chosen if `blocksize == 1`. The keyword `positive=true` can be used to ensure that the diagonal
+chosen if `blocksize == 1`. The keyword `positive = true` can be used to ensure that the diagonal
 elements of `L` are non-negative.
 """
 @algdef LAPACK_HouseholderLQ
 
 """
     GLA_HouseholderQR(; positive = false)
 
-Algorithm type to denote the GenericLinearAlgebra.jl implementation for computing the QR decomposition 
-of a matrix using Householder reflectors. Currenlty, only `blocksize = 1` and `pivoted == false` 
-are supported. The keyword `positive=true` can be used to ensure that the diagonal elements 
+Algorithm type to denote the GenericLinearAlgebra.jl implementation for computing the QR decomposition
+of a matrix using Householder reflectors. Currently, only `blocksize = 1` and `pivoted == false`
+are supported. The keyword `positive = true` can be used to ensure that the diagonal elements
 of `R` are non-negative.
 """
 @algdef GLA_HouseholderQR
@@ -69,7 +69,7 @@ const LAPACK_EigAlgorithm = Union{LAPACK_Simple, LAPACK_Expert}
 """
     GS_QRIteration()
 
-Algorithm type to denote the GenericSchur.jl implementation for computing the 
+Algorithm type to denote the GenericSchur.jl implementation for computing the
 eigenvalue decomposition of a non-Hermitian matrix.
 """
 @algdef GS_QRIteration
@@ -121,8 +121,8 @@ const LAPACK_EighAlgorithm = Union{
 """
     GLA_QRIteration()
 
-Algorithm type to denote the GenericLinearAlgebra.jl implementation for computing the 
-eigenvalue decomposition of a Hermitian matrix, or the singular value decomposition of 
+Algorithm type to denote the GenericLinearAlgebra.jl implementation for computing the
+eigenvalue decomposition of a Hermitian matrix, or the singular value decomposition of
 a general matrix.
 """
 @algdef GLA_QRIteration