Merge pull request JuliaLang#11179 from yomichi/patch-2

fixed markups in linalg.rst

doc/stdlib/linalg.rst

@@ -263,7 +263,7 @@ Linear algebra functions in Julia are largely implemented by calling functions f
 .. function:: eigvecs(A, [eigvals,][permute=true,][scale=true]) -> Matrix
 
  Returns a matrix ``M`` whose columns are the eigenvectors of ``A``.
- (The ``k``th eigenvector can be obtained from the slice ``M[:, k]``.)
+ (The ``k``\ th eigenvector can be obtained from the slice ``M[:, k]``.)
  The ``permute`` and ``scale`` keywords are the same as for :func:`eigfact`.
 
  For :class:`SymTridiagonal` matrices, if the optional vector of eigenvalues
@@ -273,8 +273,8 @@ Linear algebra functions in Julia are largely implemented by calling functions f
 
  Computes the eigenvalue decomposition of ``A``, returning an ``Eigen``
  factorization object ``F`` which contains the eigenvalues in ``F[:values]``
- and the eigenvectors in the columns of the matrix ``F[:vectors]``. (The
- ``k``th eigenvector can be obtained from the slice ``F[:vectors][:, k]``.)
+ and the eigenvectors in the columns of the matrix ``F[:vectors]``.
+ (The ``k``\ th eigenvector can be obtained from the slice ``F[:vectors][:, k]``.)
 
  The following functions are available for ``Eigen`` objects: ``inv``,
  ``det``.
@@ -296,7 +296,7 @@ Linear algebra functions in Julia are largely implemented by calling functions f
  Computes the generalized eigenvalue decomposition of ``A`` and ``B``,
  returning a ``GeneralizedEigen`` factorization object ``F`` which contains
  the generalized eigenvalues in ``F[:values]`` and the generalized
- eigenvectors in the columns of the matrix ``F[:vectors]``. (The ``k``th
+ eigenvectors in the columns of the matrix ``F[:vectors]``. (The ``k``\ th
  generalized eigenvector can be obtained from the slice ``F[:vectors][:,
  k]``.)