doc: Update more docstrings to have one sentence summary as first line. Reviewed io, java, linear-algebra, prefs, and set script directories. * scripts/io/beep.m, scripts/io/dlmwrite.m, scripts/io/importdata.m, scripts/io/strread.m, scripts/io/textread.m, scripts/java/javaArray.m, scripts/java/java_get.m, scripts/java/java_set.m, scripts/java/javaaddpath.m, scripts/java/javachk.m, scripts/java/javaclasspath.m, scripts/java/javamem.m, scripts/java/javarmpath.m, scripts/linear-algebra/bandwidth.m, scripts/linear-algebra/commutation_matrix.m, scripts/linear-algebra/cond.m, scripts/linear-algebra/condest.m, scripts/linear-algebra/cross.m, scripts/linear-algebra/duplication_matrix.m, scripts/linear-algebra/expm.m, scripts/linear-algebra/housh.m, scripts/linear-algebra/isdefinite.m, scripts/linear-algebra/ishermitian.m, scripts/linear-algebra/issymmetric.m, scripts/linear-algebra/istril.m, scripts/linear-algebra/istriu.m, scripts/linear-algebra/krylov.m, scripts/linear-algebra/logm.m, scripts/linear-algebra/normest.m, scripts/linear-algebra/null.m, scripts/linear-algebra/onenormest.m, scripts/linear-algebra/orth.m, scripts/linear-algebra/qzhess.m, scripts/linear-algebra/rank.m, scripts/linear-algebra/rref.m, scripts/linear-algebra/vech.m, scripts/path/matlabroot.m, scripts/prefs/addpref.m, scripts/prefs/getpref.m, scripts/prefs/ispref.m, scripts/prefs/rmpref.m, scripts/prefs/setpref.m, scripts/set/powerset.m, scripts/set/setdiff.m: Update more docstrings to have one sentence summary as first line.

--- a/scripts/linear-algebra/onenormest.m
+++ b/scripts/linear-algebra/onenormest.m
@@ -21,8 +21,9 @@
 ## @deftypefnx {Function File} {[@var{est}, @var{v}, @var{w}, @var{iter}] =} onenormest (@var{apply}, @var{apply_t}, @var{n}, @var{t})
 ##
 ## Apply @nospell{Higham and Tisseur's} randomized block 1-norm estimator to
-## matrix @var{A} using @var{t} test vectors.  If @var{t} exceeds 5, then
-## only 5 test vectors are used.
+## matrix @var{A} using @var{t} test vectors.
+##
+## If @var{t} exceeds 5, then only 5 test vectors are used.
 ##
 ## If the matrix is not explicit, e.g., when estimating the norm of
 ## @code{inv (@var{A})} given an LU@tie{}factorization, @code{onenormest}
@@ -31,11 +32,10 @@
 ## @var{n} by @var{t}.  The implicit version requires an explicit dimension
 ## @var{n}.
 ##
-## Returns the norm estimate @var{est}, two vectors @var{v} and
-## @var{w} related by norm
-## @code{(@var{w}, 1) = @var{est} * norm (@var{v}, 1)},
-## and the number of iterations @var{iter}.  The number of
-## iterations is limited to 10 and is at least 2.
+## Returns the norm estimate @var{est}, two vectors @var{v} and @var{w} related
+## by norm @code{(@var{w}, 1) = @var{est} * norm (@var{v}, 1)}, and the number
+## of iterations @var{iter}.  The number of iterations is limited to 10 and is
+## at least 2.
 ##
 ## References:
 ##