Merge pull request JuliaLang#5182 from davidavdav/master

Changed 'U' to ``:U`` in docs for chol().  Same for ``:L``

doc/stdlib/linalg.rst

@@ -57,11 +57,11 @@ Linear algebra functions in Julia are largely implemented by calling functions f
 
 .. function:: chol(A, [LU]) -> F
 
- Compute Cholesky factorization of a symmetric positive-definite matrix ``A`` and return the matrix ``F``. If ``LU`` is ``L`` (Lower), ``A = L*L'``. If ``LU`` is ``U`` (Upper), ``A = R'*R``.
+ Compute Cholesky factorization of a symmetric positive-definite matrix ``A`` and return the matrix ``F``. If ``LU`` is ``:L`` (Lower), ``A = L*L'``. If ``LU`` is ``:U`` (Upper), ``A = R'*R``.
 
 .. function:: cholfact(A, [LU]) -> Cholesky
 
- Compute the Cholesky factorization of a dense symmetric positive-definite matrix ``A`` and return a ``Cholesky`` object. ``LU`` may be 'L' for using the lower part or 'U' for the upper part. The default is to use 'U'. The triangular matrix can be obtained from the factorization ``F`` with: ``F[:L]`` and ``F[:U]``. The following functions are available for ``Cholesky`` objects: ``size``, ``\``, ``inv``, ``det``. A ``LAPACK.PosDefException`` error is thrown in case the matrix is not positive definite.
+ Compute the Cholesky factorization of a dense symmetric positive-definite matrix ``A`` and return a ``Cholesky`` object. ``LU`` may be ``:L`` for using the lower part or ``:U`` for the upper part. The default is to use ``:U``. The triangular matrix can be obtained from the factorization ``F`` with: ``F[:L]`` and ``F[:U]``. The following functions are available for ``Cholesky`` objects: ``size``, ``\``, ``inv``, ``det``. A ``LAPACK.PosDefException`` error is thrown in case the matrix is not positive definite.
 
 .. function:: cholfact(A, [ll]) -> CholmodFactor
 
@@ -73,7 +73,7 @@ Linear algebra functions in Julia are largely implemented by calling functions f
 
 .. function:: cholpfact(A, [LU]) -> CholeskyPivoted
 
- Compute the pivoted Cholesky factorization of a symmetric positive semi-definite matrix ``A`` and return a ``CholeskyPivoted`` object. ``LU`` may be 'L' for using the lower part or 'U' for the upper part. The default is to use 'U'. The triangular factors contained in the factorization ``F`` can be obtained with ``F[:L]`` and ``F[:U]``, whereas the permutation can be obtained with ``F[:P]`` or ``F[:p]``.
+ Compute the pivoted Cholesky factorization of a symmetric positive semi-definite matrix ``A`` and return a ``CholeskyPivoted`` object. ``LU`` may be ``:L`` for using the lower part or ``:U`` for the upper part. The default is to use ``:U``. The triangular factors contained in the factorization ``F`` can be obtained with ``F[:L]`` and ``F[:U]``, whereas the permutation can be obtained with ``F[:P]`` or ``F[:p]``.
  The following functions are available for ``CholeskyPivoted`` objects: ``size``, ``\``, ``inv``, ``det``.
  A ``LAPACK.RankDeficientException`` error is thrown in case the matrix is rank deficient.