--- a/scripts/polynomial/poly.m
+++ b/scripts/polynomial/poly.m
@@ -21,8 +21,8 @@
 ## @deftypefnx {Function File} {} poly (@var{x})
 ## If @var{A} is a square @math{N}-by-@math{N} matrix, @code{poly (@var{A})}
 ## is the row vector of the coefficients of @code{det (z * eye (N) - A)},
-## the characteristic polynomial of @var{A}.  For example, 
-## the following code finds the eigenvalues of @var{A} which are the roots of 
+## the characteristic polynomial of @var{A}.  For example,
+## the following code finds the eigenvalues of @var{A} which are the roots of
 ## @code{poly (@var{A})}.
 ##
 ## @example
@@ -34,13 +34,13 @@
 ## @end group
 ## @end example
 ##
-## In fact, all three eigenvalues are exactly 1 which emphasizes that for 
+## In fact, all three eigenvalues are exactly 1 which emphasizes that for
 ## numerical performance the @code{eig} function should be used to compute
 ## eigenvalues.
 ##
 ## If @var{x} is a vector, @code{poly (@var{x})} is a vector of the coefficients
 ## of the polynomial whose roots are the elements of @var{x}.  That is,
-## if @var{c} is a polynomial, then the elements of 
+## if @var{c} is a polynomial, then the elements of
 ## @code{@var{d} = roots (poly (@var{c}))} are contained in @var{c}.
 ## The vectors @var{c} and @var{d} are not identical, however, due to sorting
 ## and numerical errors.