--- a/scripts/general/gradient.m
+++ b/scripts/general/gradient.m
@@ -26,23 +26,23 @@
 ## @deftypefnx {Function File} {[@dots{}] =} gradient (@var{f}, @var{x0}, @var{x}, @var{y}, @dots{})
 ##
 ## Calculate the gradient of sampled data, or of a function.  If @var{m}
-## is a vector, calculate the one dimensional gradient of @var{m}. If
+## is a vector, calculate the one dimensional gradient of @var{m}.  If
 ## @var{m} is a matrix the gradient is calculated for each dimension.
 ##
 ## @code{[@var{dx}, @var{dy}] = gradient (@var{m})} calculates the one
 ## dimensional gradient for @var{x} and @var{y} direction if @var{m} is a
-## matrix. Additional return arguments can be use for multi-dimensional
+## matrix.  Additional return arguments can be use for multi-dimensional
 ## matrices.
 ##
 ## A constant spacing between two points can be provided by the
-## @var{s} parameter. If @var{s} is a scalar, it is assumed to be the spacing
+## @var{s} parameter.  If @var{s} is a scalar, it is assumed to be the spacing
 ## for all dimensions. 
 ## Otherwise, separate values of the spacing can be supplied by
-## the @var{x}, @dots{} arguments. Scalar values specify an equidistant spacing.
+## the @var{x}, @dots{} arguments.  Scalar values specify an equidistant spacing.
 ## Vector values for the @var{x}, @dots{} arguments specify the coordinate for that
-## dimension. The length must match their respective dimension of @var{m}.
+## dimension.  The length must match their respective dimension of @var{m}.
 ## 
-## At boundary points a linear extrapolation is applied. Interior points
+## At boundary points a linear extrapolation is applied.  Interior points
 ## are calculated with the first approximation of the numerical gradient
 ##
 ## @example
@@ -52,10 +52,10 @@
 ## If the first argument @var{f} is a function handle, the gradient of the
 ## function at the points in @var{x0} is approximated using central
 ## difference.  For example, @code{gradient (@@cos, 0)} approximates the
-## gradient of the cosine function in the point @math{x0 = 0}. As with
+## gradient of the cosine function in the point @math{x0 = 0}.  As with
 ## sampled data, the spacing values between the points from which the
 ## gradient is estimated can be set via the @var{s} or @var{dx},
-## @var{dy}, @dots{} arguments. By default a spacing of 1 is used.
+## @var{dy}, @dots{} arguments.  By default a spacing of 1 is used.
 ## @end deftypefn
 
 ## Author:  Kai Habel <kai.habel@gmx.de>